A review of digital twin applications in construction
Open accessAbstract
The emergence of digital twin technology presents tremendous opportunities for several industry sectors. A digital twin is defined as the virtual representation of a physical asset that collects and sends real-time information. A digital twin collects data from the physical asset in real-time and uses this data to create a virtual model of the physical object. Its functionality depends on the bi-directional coordination of data between the physical and virtual models. This is likened to cyber-physical systems, which seek to provide bi-directional coordination between the physical and virtual worlds. While digital twins have found applications in the various industrial sectors such as aerospace, manufacturing, and industrial engineering, their applications in the construction industry are relatively limited. Although some level of progress has been made in the construction industry with the application of a digital twin, it still lags in other sectors. Virtual models of constructed facilities are developed and used to plan and construct the actual facility, with changes in the physical facility being automatically reflected in the virtual model based on real-time data and vice-versa. The digital twin shows promising possibilities in the design, construction, operation, and maintenance of a facility. This paper reviews the development and implementation of digital twin technology in the construction industry and compares its use with other industries while assessing the benefits of DT to the construction industry. A systematic literature review including a thematic analysis was employed to address the purpose of this study. Limitations associated with the existing and emerging applications are also identified. It concludes by highlighting the importance of DT applications in the construction sector.
AI snapshot
Written from the paper’s full text.
TL;DR
This review systematically examines digital twin (DT) applications across sectors and finds construction adoption and publication remain low relative to manufacturing, healthcare, and other industries. It identifies benefits and limitations of DT for design, construction, operation, and maintenance, and calls for greater construction-sector implementation.
Key findings
- Thematic analysis of Web of Science “Digital Twin and Construction” publications found 24 publications for 2019–2021, with 17 (70.83%) in 2021, 5 (20.83%) in 2020, and 2 (8.33%) in 2019; “Construction Building Technology” accounted for 5 publications (8.33%) of the 60 categorized records.
- Reviewed DT literature focused more on manufacturing, healthcare, and general DT proof of concept than construction; the paper concludes construction DT application is still low and no literature addressed facilities management as a whole or a specific facilities management area.
- Reported benefits of DT in construction include automated progress monitoring, updated as-built drawings/models, resource planning and logistics, safety monitoring, quality assessment, optimization of equipment usage, monitoring and tracking of workers, monitoring of a facility, facilities management and operations, decision making, and sustainable development.
- Examples from other sectors include GE’s digital wind farm, reported to boost wind farm energy production by 20% and generate about $100 million extra value over the lifespan of a 100-MW farm; Singapore’s Frasers Tower used 179 Bluetooth beacons and 900 sensors generating about 2,100 data points.
Methods
- Systematic literature review with thematic analysis; sources were Web of Science and Google Scholar, with Scopus reported as returning 0 DT articles under Title search.
- Web of Science searches included topic = “digital twin” (1,557 results, 1900–2020) and title searches TI = “digital twin” (413 results), TI = “digital twins”, TI = “Digital”, and TI = “Digital Twin and Construction”; abstracts were reviewed to select articles for full study.
- Thematic analysis classified literature by field/industry and was further analyzed for mean and percentage values of DT publications by theme.
Limitations
- The paper states construction DT adoption is low due to complex technical setup, complex information management, security protocols (encryption, access privileges, device vulnerabilities, audits), massive data from numerous endpoints, worker fear of job loss, difficulty integrating stakeholders, volatile/non-identical projects, lack of DT platform standards, and digital planning/simulation not included in budgets or fee schedules.
- The paper notes DT is at a nascent stage and its potential has not been fully realized; construction publications are more DT concepts than applications compared with other industries.
- Evident from the text: the review’s construction-specific publication base is small (24 publications, 2019–2021), and the authors note lower sample size/data on DT implementation in construction make it harder to convince stakeholders of feasibility.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
4 of 48 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Findingreasoning
There is a huge gap in the implementation of DT between the industrial sectors and the construction industry.
“Previous literature has shown a huge gap in the implementation of DT between the industrial sectors and the construction industry.”
- Also stated in: § 3. METHODOLOGY · plain
“This also supports the stance on the lack of adequate publications and implementation of DT technology in the construction industry.”
Quote in the paperSubstantial claim - Also stated in: § 3. METHODOLOGY · plain
- Findingreasoning
Publications on DT application in the construction industry have been observed to be very low.
“Additionally, publications on DT application in the construction industry have been observed to be very low.”
- Also stated in: § 3. METHODOLOGY · plain
“According to Table 1, it can be observed that publications on”
Quote in the paperNot a substantial claim - Also stated in: § 3. METHODOLOGY · plain
- Findingnone given
The DT and construction publications are more of DT concepts rather than applications as in other industries.
“However, these publications are more of DT concepts rather than applications as having been applied in the other industries.”
Quote in the paperSubstantial claim - Findingnone given
DT was found to have several uses in the design, construction, operation, and maintenance of a facility/asset.
“DT was found to have several uses in the design, construction, operation, and maintenance of a facility/asset.”
Quote in the paperSubstantial claim - Findingreasoning
There were a total of 24 DT and construction publications between 2019 and 2021.
“Relating the percentage value to the total number of DT and construction publications shows a total of 24 publications between 2019 -2021.”
Quote in the paperSubstantial claim
- Findingown data
DT publications under the category 'construction building technology' constitute about 8.33 percent.
“Further analysis of the themes to identify the mean and percentage value of DT publications with regards to various fields identified that there are DT publications under the category 'construction building technology' with about 8.33 percent (see Table 2).”
Quote in the paperSubstantial claim - Interpretationreasoning
DT causes maintenance strategies to move from being reactive to predictive by forecasting what maintenance measures would be needed by the physical asset.
“This causes maintenance strategies to move from being reactive to predictive by forecasting what maintenance measures would be needed by the physical asset.”
Quote in the paperNot a substantial claim - Premisecitation
DT serves as an enabler for smart MRO by ensuring that proactive maintenance for products is carried out to avert downtime due to unforeseen breakdowns.
“DT serves as an enabler for smart MRO by ensuring that proactive maintenance for products is carried out to avert downtime due to unforeseen breakdowns (Qi & Tao, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Qi & Tao, 2018 source
- Premisecitation
BIM provides an important input (including geometrical inputs) for DT, particularly for new projects.
“BIM provides an important input (including geometrical inputs) for DT, particularly for new projects.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brilakis et al, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
DT was employed to improve communication between smart connected devices with industrial IoT by employing a Cross-Technology Communication platform which operates in real-time deep learning directly on end devices.
“To address these issues, DT was employed to improve communication between smart connected devices with industrial IoT by employing a Cross-Technology Communication platform was implemented which operates in real-time deep learning directly on end devices.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites He et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The Internet of Things (IoT) is a viable communication platform for DT that functions on the combination of sensors, cloud computing, and big data analytics.
“The Internet of Things (IoT) has been identified as a viable communication platform that functions on the combination of sensors, cloud computing, and big data analytics (Lui et al, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lui et al, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Although these processes are automated, they are still time-consuming when compared to employing digital models generated using BIM.
“It is observed that although these processes are automated, they are still time-consuming when compared to employing digital models generated using BIM.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Agapaki et al., 2018 source
- Premisecitation
A report by Deloitte (2017) identified benefits: quality, warranty cost and services, operational costs, record retention and serialization, new product introduction cost and lead-time, and revenue growth opportunities.
“A report by Deloitte (2017) identified the following benefits: quality, warranty cost and services, operational costs, record retention and serialization, new product introduction cost and lead-time, and revenue growth opportunities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Deloitte, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
DT is yet to fully gain grounds in the built environment with the potential it has to offer to the associated stakeholders.
“As confirmed by Brilakis et al. (2019), DT is yet to fully gain grounds in the built environment with the potential it has to offer to the associated stakeholders.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brilakis et al., 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Laser scanning or photogrammetry are useful in the automated data acquisition process for geometric DT when dealing with existing structures without digital models.
“Laser scanning or photogrammetry are useful in the automated data acquisition process for geometric DT when dealing with existing structures without digital models (Brilakis et al, 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brilakis et al, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
It would be more difficult to convince stakeholders of DT's feasibility in construction due to the lower sample size and data that exist on DT implementation in the construction industry.
“Considering the complexities involved in developing a DT platform and the complexities of the construction industry, it would be more difficult to convince stakeholders of DT's feasibility especially due to the lower sample size and data that exist on DT implementation in the construction industry.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The construction industry would require different DT standards for different construction projects.
“However, the construction industry would require different DT standards for different construction projects.”
Quote in the paperNot a substantial claim - Interpretationcitation
The slow adoption of digitization in the construction industry can be attributed to the complex nature of the construction industry.
“The slow adoption of digitization in the construction industry can also be attributed to the complex nature of the construction industry.”
Quote in the paperNot a substantial claim- Rests on an assumption: The construction industry is complex.
- Interpretationreasoning
The lack of a standard in the development of a DT platform in the construction industry contributes to the setback in adoption.
“The lack of a standard in the development of a DT platform in the industry also contributes to this setback in adoption.”
Quote in the paperNot a substantial claim - Premisecitation
DT can monitor a physical asset's current operational status and performance for scheduling preventive and predictive maintenance activities including calibration and tooling management.
“DT can monitor a physical asset's current operational status and performance for scheduling preventive and predictive maintenance activities including calibration and tooling management to be analyzed (Turbide, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Turbide, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
DT provides potential benefits in the construction industry in terms of analyzing the feasibility of a design before construction.
“DT also provides some potential benefits in the construction industry in terms of analyzing the feasibility of a design before construction.”
Quote in the paperNot a substantial claim - Premisecitation
The information management system needed to manage the model and data required in setting up a DT involves complex and multifaceted processes.
“The information management system needed to manage the model and data required in setting up a DT involves complex and multifaceted processes (Tune, 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tune, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Another limitation to the adoption of DT in the construction industry is that digital planning and simulation are not included in the budget or the project fee schedules.
“A study by Siemens (2018) revealed that another limitation to the adoption of DT in the construction industry is because”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Siemens, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Difficulty in integrating the various stakeholders in the construction industry to work as a single team is a limitation to the adoption of DT in the construction industry.
“The difficulty in integrating the various stakeholders in the construction industry to work as a single team is another limitation to the adoption of DT in the construction industry (Siemens, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Siemens, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The complexities involved in developing a DT model and the volatile nature of the construction industry make adopting DT in the construction industry a difficult task.
“The complexities involved in developing a DT model and the volatile nature of the construction industry make adopting DT in the construction industry a difficult task (Brilakis et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brilakis et al., 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Classified as probably not a substantial claim. 43
- May combine two claims. 32
- The quote only partly states this claim. 3
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDT consists of three parts: the physical product, the virtual product, and the communication platform between them.
“Consequently, DT consists of three parts, which include the physical product, virtual product, and the communication platform between them (Glaessgen & Stargel 2012).”
- Also stated in: § 2.5 System Architecture · plain
“DT involves three major parts which include the physical system, virtual system, and the communication linkage between both systems (Glaessgen & Stargel 2012).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Glaessgen & Stargel 2012 source
The Concept section describes a digital simulation that mirrors an as-built vehicle and incorporates sensor data from it, supporting the physical–virtual relationship. It does not describe the Digital Twin as three parts or identify a communication platform as a distinct part (page not available in our copy). (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Also stated in: § 2.5 System Architecture · plain
May combine two claims.
PremisecitationAlthough a DT can require a great upfront investment, it can provide significant investment return in the long-run operation of a system.
“Although a DT can require a great upfront investment, it can provide significant investment return in the long-run operation of a system (Madni et al, 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Madni et al, 2019 source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationreasoningThe definitions by Lui et al. (2018) and Madni et al. (2019) are the most inclusive and appropriate for the construction sector because they address real-time monitoring of construction projects and predictive maintenance.
“These definitions are most inclusive and appropriate for the construction sector because they address the purpose of DT in this industryreal-time monitoring of construction projects and predictive maintenance.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Lui et al (2018)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Madni et al. (2019) source
Section 5, “Future Prospects” (page unavailable), describes real-time data dashboards for construction projects and says digital twins can improve decisions about construction projects and property maintenance. It discusses predictive maintenance in manufacturing and maintenance activities, but does not specifically connect it to construction projects or assess these definitions as the most inclusive and appropriate for the sector. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationDT can predict a system's response to safety in cases of critical events and can reveal imminent issues before they become critical by comparing actual responses to predicted ones.
“DT can predict a system's response to safety in cases of critical events and can reveal imminent issues before they become critical by comparing actual responses to predicted ones (Madni et al, 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Madni et al, 2019 source
May combine two claims.
FindingreasoningDigital twin applications in the construction industry are relatively limited and lag behind other industrial sectors such as aerospace, manufacturing, and industrial engineering.
“While digital twins have found applications in the various industrial sectors such as aerospace, manufacturing, and industrial engineering, their applications in the construction industry are relatively limited.”
- Also stated in: § 1. INTRODUCTION · plain
“Unfortunately, the construction industry is yet to fully embrace the implementation of DT, which can be attributed to the complex nature of the industry and the slow receptiveness of the stakeholders.”
Quote in the paperSubstantial claim- Also stated in: § 1. INTRODUCTION · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenDT is at a nascent stage but has shown diverse applicability in various industrial sectors.
“DT is yet at the nascent stage but has shown diverse applicability in the various industrial sectors.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDT has been applied in aerospace, automotive, energy, healthcare, telecommunications, and manufacturing.
“This research identified several industries where DT was applied, which are: aerospace, automotive, energy, healthcare, telecommunications, and manufacturing.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFollowing the reviewed articles, more focus was on the manufacturing industry, healthcare sector, and articles on the general DT concept.
“Following the reviewed articles, more focus was on the manufacturing industry, healthcare sector, and articles on the general DT concept.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims. The quote only partly states this claim.
Findingown dataPublications on
“According to Table 1, it can be observed that publications on”
- Also stated in: § 3. METHODOLOGY · plain
“However, the publications increased in 2021 to reach 70.83% of the total between 2019 and 2021.”
Quote in the paperNot a substantial claim- Also stated in: § 3. METHODOLOGY · plain
May combine two claims.
Findingown dataSearching Scopus for DT articles using Title (TI) gave a '0' result, meaning there are no DT articles in Scopus.
“While searching for DT articles in Scopus using Title (TI), it gave a '0' result which means that there are no DT articles in Scopus.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Findingown dataSeveral publications under the search
“Although the search input”
Quote in the paperNot a substantial claim- Rests on an assumption: The categorization by Web of Science accurately identifies the fields a publication is affiliated with based on its contents.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenA second advanced search using TI =
“A second advanced search was carried out using the input (Title = TI): TI =”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataOn Web of Science, the first basic search with
“On Web of Science, the first basic search with”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThere is no literature on DT addressing facilities management as a whole or any specific area of facilities management.
“Additionally, there is no literature on DT addressing facilities management as a whole or any specific area of facilities management.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThematic analysis revealed that more DT publications focused on the manufacturing industry, healthcare sector (service delivery-related), and general DT proof of concept.
“The Thematic Analysis which addresses some of the research questions revealed that more of the publications on DT focused on the manufacturing industry, healthcare sector (service delivery-related), and general DT proof of concept (see Table 3).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningCreating a geometric digital model is the first step in creating a DT because the digital model will be linked with the physical component on which the DT application will be based.
“Creating a geometric digital model is the first step in creating a DT because the digital model will be linked with the physical component on which the DT application will be based.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDT has been identified as a major key in the long-term success of autonomous vehicles in the future.
“DT has also been identified as a major key in the long-term success of autonomous vehicles in the future (Watts, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Watts, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCyber-physical systems ensure seamless integration between the virtual and physical models.
“The cyber-physical systems ensure seamless integration between the virtual and physical models (Akanmu et al, 2012;Akanmu et al, 2013;Akanmu and Anumba, 2015).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationDT applications have made their way into various industrial sectors and have shown large benefits to them.
“DT applications have made their way into various industrial sectors and have shown large benefits to them.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningDT is at its nascent stage in the construction industry and possesses promising benefits and rewards in its applications.
“DT is at its nascent stage in the construction industry and possesses promising benefits and rewards in its applications.”
Quote in the paperNot a substantial claim- Rests on an assumption: Lessons and benefits from DT applications in other industries are transferable to the construction industry.
May combine two claims.
PremisecitationGeneral Electric's implementation of a DT to boost wind farm energy increased energy production by 20% and generated about $100 million as additional profit over the lifespan of a 100-megawatt farm.
“General Electric's implementation of a DT to boost wind farm energy increased energy production by 20% and generated about $100 million as additional profit over the lifespan of a 100-megawatt farm (Harvard Business Review, 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Harvard Business Review, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDT enables continuous information flow between a physical and virtual asset throughout the product lifecycle of the asset.
“It enables continuous information flow between a physical and virtual asset throughout the product lifecycle of the asset (Abramovici et al, 2015;Rosen, 2016).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Abramovici et al, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Rosen, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenDT can be applied in the construction industry using BIM to produce the digital model which would be simulated using the DT approach to analyze the feasibility of the model.
“This can also be applied in the construction industry using BIM to produce the digital model which would be simulated using the DT approach to analyze the feasibility of the model.”
Quote in the paperNot a substantial claim- Rests on an assumption: Lessons and benefits from DT applications in other industries are transferable to the construction industry.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDT involves a systems-of-systems integration of different sources of data including embedded sensors, wireless sensor networks, digitized building life-cycle data and systems, and integration with other cloud services and data providers.
“DT involves a systems-of-systems integration of the different sources of data that include embedded sensors, wireless sensor networks, digitized building life-cycle data and systems, and integration with other cloud services and data providers (Haag & Anderl, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Haag & Anderl, 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationLiu et al. (2020) reported that optimization was met in the hospital supply chain system and thus cutting building operational costs, operational uncertainties, and tight budgetary constraints.
“The study by Liu et al. (2020) reported that optimization was met in the hospital supply chain system and thus cutting building operational costs, operational uncertainties, and tight budgetary constraints.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Liu et al., 2020 source
May combine two claims.
PremisecitationDT provides significant benefits, some of which include effective data management, anomaly detection for effective maintenance, and access control and management.
“DT provides significant benefits, some of which include effective data management, anomaly detection for effective maintenance, and access control and management.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Deloitte, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenDT-enabling technologies include cyber-physical systems, sensors, communication networks, and mobile devices.
“These parts are comprised of DT-enabling technologies including cyber-physical systems, sensors, communication networks, and mobile devices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningCondition-Based Maintenance using a DT approach for facilities management would help improve the performance of constructed projects by monitoring and controlling their health status in real-time.
“Condition-Based Maintenance using a DT approach for facilities management would help improve the performance of constructed projects by monitoring and controlling their health status in real-time.”
Quote in the paperNot a substantial claim- Rests on an assumption: Lessons and benefits from DT applications in other industries are transferable to the construction industry.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe processing of data and information obtained by attached sensors is responsible for all real-time updates in the virtual model.
“The processing of the data and information obtained by the various attached sensors is responsible for all real-time updates in the virtual model.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGE proposes to boost wind farm energy production by 20% and generate about $100 million as extra value over the lifespan of a 100-megawatt farm.
“Harvard Business Review (2015) further identified that GE proposes to boost wind farm energy production by 20% and generate about $100 million as extra value over the lifespan of a 100-megawatt farm.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Harvard Business Review, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDT is based on the foundation of the Internet of Things (IoT) for its operations.
“DT is based on the foundation of the Internet of Things (IoT) for its operations (Palit & Datta, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Palit & Datta, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDT provides further advancement on smart manufacturing by managing data by providing relevant information in real-time.
“DT provides further advancement on smart manufacturing by managing these data by providing relevant information in real-time.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tao et al, 2014 source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). The quote only partly states this claim.
Interpretationown dataThe number of publications on
“This is still low when compared to other industrial sectors like the manufacturing industry, which has benefited more from the implementation of DT.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Interpretationown dataThe adoption and extent of DT application in the construction industry is still low compared to the manufacturing industry and given the low volume of publications.
“However, the adoption of DT in construction is still low when compared to the manufacturing industry.”
- Also stated in: § 6. DISCUSSION · boosted
“Consequently, it can be concluded that the extent of DT application in the construction industry is still low given the low volume of publications.”
Quote in the paperSubstantial claim- Also stated in: § 6. DISCUSSION · boosted
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA geometric DT is a geometric digital model enhanced with semantic information and serves as a starting point for creating a comprehensive DT.
“A geometric DT is referred to as a geometric digital model enhanced with semantic information and serves as a starting point for creating a comprehensive DT (Brilakis et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brilakis et al., 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe intended use of the DT determines what model needs to be used to create it.
“The intended use of the DT determines what model needs to be used to create it.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA report by Johnson Controls (2019) identified benefits of applying DT in the built environment to be visibility of the physical asset's operations in the virtual model, prediction of the future state of buildings, possibilities of simulating various conditions to determine 'what-if analysis', documentation, and communication to understand and explain behaviors and connect disparate systems such作为
“Another report by Johnson Controls (2019) identified the benefits of applying DT in the built environment to be visibility of the physical asset's operations in the virtual model, prediction of the future state of buildings, possibilities of simulating various conditions to determine 'what-if analysis', documentation, and communication to understand and explain behaviors and connect disparate”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Johnson Controls, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe implementation of DT in the aerospace industry is seen with some growth, and this is an encouragement for the construction industry to adopt DT.
“The implementation of DT in the Aerospace industry is seen with some growth, and this is an encouragement for the construction industry to adopt DT.”
Quote in the paperNot a substantial claim- Rests on an assumption: Lessons and benefits from DT applications in other industries are transferable to the construction industry.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenEven with the rise of smart buildings embedded with smart automated systems, the adoption of DT in the construction industry has been low compared to the other industries.
“Even with the rise of smart buildings embedded with smart automated systems, the adoption of DT in the construction industry has been low compared to the other industries.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe purpose of the DT determines what physical asset to digitize and the Level of Detail (LoD) that is needed for the DT creation.
“The purpose of the DT determines what physical asset to digitize and the Level of Detail (LoD) that is needed for the DT creation (Brilakis et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brilakis et al., 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenAn essential part of a DT is the communication (linkage) between the physical and virtual products, which involves analytics at every step.
“An essential part of a DT is the communication (linkage) between the physical and virtual products, which involves analytics at every step.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe reviewed articles support the stance on the lack of adequate publications and implementation of DT technology in the construction industry.
“This also supports the stance on the lack of adequate publications and implementation of DT technology in the construction industry.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenIf properly implemented, DT will influence how the design, build, and operation of the physical system is constructed and works in a single life cycle.
“If properly implemented, it will influence how the design, build, and operation of the physical system is constructed and works in a single life cycle.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThematic Analysis is a type of qualitative analysis used to classify and present themes dealing with different subjects.
“Thematic Analysis is a type of qualitative analysis used to classify and present themes dealing with different subjects (Boyatzis, 1998;Alhojailan, 2012).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Boyatzis, 1998
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Alhojailan, 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the manufacturing industry, DT is yielding powerful and compelling applications leading to improved results.
“An example is within the manufacturing industry where DT is yielding powerful and compelling applications leading to improved results (Deloitte, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Deloitte, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDT functions are based on the interaction between the physical and virtual worlds, which enables the analysis of data and monitoring of systems.
“DT functions are based on the principle of the interaction between the physical and virtual worlds, which enables the analysis of data and monitoring of systems (GAVS, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites GAVS, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThe adoption rate of digitization in the construction industry is still low at 1.4% as against the Information and Communications Technology industry, which has the highest digitization adoption rate of 4.6%.
“A study by Bughin et al. (2016) shows that the adoption rate of digitization in the construction industry is still low at 1.4% as against the Information and Communications Technology industry, which has the highest digitization adoption rate of 4.6%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bughin et al., 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningDT requires a high level of data analytics conducted in the IoT cloud to ensure real-time updates and bi-directional coordination.
“DT requires a high level of data analytics conducted in the IoT cloud to ensure real-time updates and bi-directional coordination.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe manufacturing industry is profiting from DT benefits such as closed-loop manufacturing, optimization of product design, manufacturing, and smart maintenance, repair, and overhaul (MRO).
“The manufacturing industry is profiting from the potential benefits of DT such as manufacturing with a closed-loop and optimization of the product design, manufacturing, and smart maintenance, repair, and overhaul (MRO) (Tao et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tao et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBuildings could be designed with intelligent systems (sensors, actuators, controls) operating on the principle of cyber-physical systems bi-directional coordination between the building's components and the cyber world.
“Buildings could be designed with intelligent systems (sensors, actuators, controls, and more) which operate on the principle of cyber-physical systemsbi-directional coordination between the building's components and the cyber world (Anumba et al, 2020;Anumba and Roofigari-Esfahan, 2020).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Anumba et al, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Anumba and Roofigari-Esfahan, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationProjections show that hospitals, airports, hotels, and other similar projects will experience growth in the adoption of DT because they employ more smart systems for their performance.
“Projections show that hospitals, airports, hotels, and other similar projects will experience growth in the adoption of DT because they employ more smart systems for their performance (Siemens, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Siemens, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThe themes on DT literature show that DT is applicable in various industries including the construction industry.
“However, the themes on DT literature show that DT is applicable in various industries including the construction industry.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenAlthough DT adoption has spread to many sectors including construction, its potential has not been fully realized.
“Although DT adoption has spread to many sectors including construction, its potential has not been fully realized.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationParris et al. categorized the importance of DT into three areas: early warnings, predictions, and optimization.
“Parris et al (2016) categorized the importance of DT into three areas: early warnings, predictions, and optimization.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Parris et al (2016)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThere have been attempts to implement DT in construction, such as monitoring construction work progress and generating a digital model of a bridge using a geometrical model.
“There have been some attempts to implement DT in construction such as in monitoring construction work progress (Braun et al., 2018) and generating the digital model of a bridge using a geometrical model for DT application (Brilakis et al, 2019).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Braun et al., 2018 source
- cites Brilakis et al, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDT is an essential tool in the planning and coordination of multi-disciplinary solutions with early verification and validation of early design choices to optimize building performance.
“It is an essential tool in the planning and coordination of multi-disciplinary solutions with the early verification and validation of early design choices to optimize building performance (Siemens, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Siemens, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThe more buildings are technologically enhanced, the more readily digitalization of the facilities management function can be undertaken with considerable benefits for building owners, operators, and occupants.
“Furthermore, the more these buildings are technologically enhanced, the more readily digitalization of the facilities management function can be undertaken with considerable benefits for building owners, operators, and occupants.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenThe advent of smart technologies such as Building Information Modelling (BIM), point cloud segmentation, augmented reality, artificial intelligence, machine learning, data analytics, and sensors makes DT implementation in the construction industry more feasible.
“The advent of some smart technologies such as Building Information Modelling (BIM), point cloud segmentation, augmented reality, artificial intelligence, machine learning, data analytics, and sensors make DT implementation in the construction industry more feasible.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSecurity protocols including data encryption, access privileges with clear user roles and least privilege, addressing known device vulnerabilities, and routine security audits are challenges to implementing DT.
“Identity Management Institute (2020) identified certain security protocols as challenges to implementing DT, including data encryption, access privileges that include a clear definition of user roles and principle of least privilege, addressing known device vulnerabilities, and routine security audits.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Identity Management Institute, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationcitationThe security challenges to implementing DT are applicable to the construction industry and may be compounded by the lower level of technology adoption in the industry.
“These are all applicable to the construction industry and may be compounded by the lower level of technology adoption in the industry.”
Quote in the paperNot a substantial claim- Rests on an assumption: The construction industry has a lower level of technology adoption.
The paper relies on this without support.
The construction industry's low implementation of DT can be attributed to the complex nature of the industry and the slow receptiveness of stakeholders.
“Unfortunately, the construction industry is yet to fully embrace the implementation of DT, which can be attributed to the complex nature of the industry and the slow receptiveness of the stakeholders.”
The paper relies on this without support.
The combination of Web of Science and Google Scholar provides all relevant and needed articles for the review.
“These two literature databases were combined to search for articles extensively because the concept proposed by this study is still gaining ground and as such, one single database could not provide all relevant and needed articles.”
The paper relies on this without support.
The categorization by Web of Science accurately identifies the fields a publication is affiliated with based on its contents.
“The categorization of the publications by Web of Science deals with identifying the various fields a publication is affiliated with based on its contents.”
The paper relies on this without support.
Lessons and benefits from DT applications in other industries are transferable to the construction industry.
“This is used to contrast its application to that in the construction industry and obtain recommendations from the other industries.”
“The implementation of DT in the Aerospace industry is seen with some growth, and this is an encouragement for the construction industry to adopt DT.”
The paper relies on this without support.
Setting up an effective DT requires highly technical and complex steps.
“Additionally, the process involved in setting up an effective DT requires highly technical and complex steps.”
The paper relies on this without support.
DT requires massive amounts of data to be collected and used from numerous endpoints, each representing a potential area of weakness.
“Furthermore, DT requires massive amounts of data to be collected and used that are drawn from numerous endpoints, each representing a potential area of weakness.”
The paper relies on this without support.
Lack of interest by workers for fear of losing their jobs is a limitation that might affect the construction industry.
“Lack of interest by the workers for fear of losing their jobs is another limitation that might affect the construction industry.”
The paper relies on this without support.
No two projects within the construction industry are identical.
“This is obvious as no two projects within the construction industry are identical.”
The paper relies on this without support.
The construction industry has a lower level of technology adoption.
“These are all applicable to the construction industry and may be compounded by the lower level of technology adoption in the industry.”
The paper relies on this without support.
The construction industry is complex.
“The slow adoption of digitization in the construction industry can also be attributed to the complex nature of the construction industry.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Proposed wind-farm gains are later described as achieved
MinorThe energy section says GE proposes the 20% production gain and $100 million in extra value. The benefits section presents those same figures as gains that have already occurred.
“Harvard Business Review (2015) further identified that GE proposes to boost wind farm energy production by 20% and generate about $100 million as extra value over the lifespan of a 100-megawatt farm.”
“General Electric's implementation of a DT to boost wind farm energy increased energy production by 20% and generated about $100 million as additional profit over the lifespan of a 100-megawatt farm (Harvard Business Review, 2015).”
Privacy-enhancement process is assigned two figure numbers
MinorThe same smart-car privacy-enhancement process is identified as Figure 4 in the text but as Figure 3 in the figure description.
“Figure 4 shows the process of implementing DT-based privacy enhancement on smart cars.”
“Damjanovic-Behrendt (2018) explained the processes implemented in Figure 3 to address DT-based privacy enhancement on smart cars to include:”
Cites
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Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727 · cited 3× · see citing works
“To ensure that the DT optimally represents the physical system, Grieves and Vickers (2017) state that the DT must include all information about the physical system asset obtained through ITcon Vol. 27 (2022), Madubuike et al., pg. 147 diligent inspection of the real world.”
BackgroundMethodInfluentialDigital Twin in manufacturing: A categorical literature review and classification
Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.474 · Cited by 3,612 · cited 1× · see citing works
“Kritzinger et al. (2018) explained more on PLM, which referred to an industry presentation describing DT as a digital informational construct of a physical system created as an entity on its own but linked to the physical system.”
BackgroundDigital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920 · cited 7× · see citing works
“The manufacturing industry is profiting from the potential benefits of DT such as manufacturing with a closed-loop and optimization of the product design, manufacturing, and smart maintenance, repair, and overhaul (MRO) (Tao et al., 2017).”
BackgroundMethodInfluentialThe Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404 · cited 2× · see citing works
“DT involves three major parts which include the physical system, virtual system, and the communication linkage between both systems (Glaessgen & Stargel 2012).”
BackgroundDigital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison
Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716 · cited 6× · see citing works
“Before manufacturing, the resources and capabilities are assigned in the virtual world with devised production plans that automate and guide the manufacturing process (Qi & Tao, 2018).”
BackgroundMethodInfluentialA Review of the Roles of Digital Twin in CPS-based Production Systems
Negri, E., Fumagalli, L., & Macchi, M. (2017) · Procedia Manufacturing · doi:10.1016/j.promfg.2017.07.198 · Cited by 1,669 · see citing works
Enabling technologies and tools for digital twin
Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., Wang, L., & Nee, A. Y. C. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2019.10.001 · Cited by 1,579 · see citing works
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474 · cited 3× · see citing works
“Rosen et al. (2015) identified the twin as a prototype that reflected the operations of the space vehicle in real-time.”
BackgroundMethodShaping the digital twin for design and production engineering
Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S. (2017) · CIRP Annals · doi:10.1016/j.cirp.2017.04.040 · Cited by 1,305 · cited 1× · see citing works
“The successful implementation of DT is also seen in the field of geometry assurance (Wärmefjord et al., 2017; Söderberg et al., 2017).”
The situated function–behaviour–structure framework
Gero, J. S., & Kannengiesser, U. (2004) · Design Studies · doi:10.1016/j.destud.2003.10.010 · Cited by 1,212 · cited 1× · see citing works
“Gero and Kannengiesser (2004) identified that the product design phase involves the forward and backward interactions between the expected, interpreted, and physical worlds.”
BackgroundThe Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East
Gantz, J., & Reinsel, D. (2012) · Cited by 1,146 · see citing works
Reengineering aircraft structural life prediction using a digital twin
Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011) · International Journal of Aerospace Engineering · doi:10.1155/2011/154798 · Cited by 1,119 · cited 1× · see citing works
“Before this, Tuegel et al. (2011) identified DT as a system used to predict the reengineering of the structural life of an aircraft.”
MethodTransatlantic robot-assisted telesurgery
Marescaux, J., Leroy, J., Gagner, M., Rubino, F., Mutter, D., Vix, M., Butner, S. E., & Smith, M. K. (2001) · Nature · doi:10.1038/35096636 · Cited by 1,100 · cited 1× · see citing works
“The idea to perform remote surgeries did not just surface as a remote surgery (cholecystectomy – surgical removal of gall bladder) was carried out in 2001 over a distance of 6230km between the patient and the surgeon (Marescaux et al., 2001).”
BackgroundDigital twin-driven product design framework
Tao, F., Sui, F.-Y., Liu, A., Qi, Q., Zhang, M., Song, B.-Y., Guo, Z.-R., Lu, S. C. Y., & Nee, A. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1443229 · Cited by 1,085 · cited 5× · see citing works
“These characteristics of the DT entail data mining from the physical system and synchronizing both the historical and real-time data to ensure a smooth connection channel between both spaces (Tao et al, 2018).”
BackgroundMethodInfluentialLeveraging Digital Twin Technology in Model-Based Systems Engineering
Madni, A. M., Madni, C. C., & Lucero, S. D. (2019) · Systems · doi:10.3390/systems7010007 · Cited by 1,050 · cited 6× · see citing works
“Madni et al. (2019) identified several features of DT to include: • A DT reflects the specific instance of a physical structure, its performance, maintenance, repair history, health status, and other characteristics.”
BackgroundMethodInfluentialTHEMATIC ANALYSIS: A CRITICAL REVIEW OF ITS PROCESS AND EVALUATION
Ibrahim, M. (2012) · Cited by 903 · see citing works
Product lifecycle management: the new paradigm for enterprises
Grieves, M. W. (2005) · International Journal of Product Development · doi:10.1504/ijpd.2005.006669 · Cited by 741 · cited 1× · see citing works
“Michael Grieves coined the first DT definition as an information mirroring model in his product lifecycle management course (Grieves, 2005).”
BackgroundZhuang, C., Liu, J., & Xiong, H. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-018-1617-6 · Cited by 700 · cited 2× · see citing works
“The NASA project entailed the creation of two space vehicles with one on earth as ‘the twin’ that mirrored the space vehicle performing the mission (Boschert et al, 2018; Zhuang et al, 2018).”
BackgroundIoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing
Tao, F., Zuo, Y., Xu, L. D., & Zhang, L. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2306397 · Cited by 587 · cited 17× · see citing works
“To attain a realtime update on the status of the bridge, sensors are attached to obtain relevant data which are simulated in the IoT cloud platform to produce the expected real-time updates.”
InfluentialHaag, S., & Anderl, R. (2018) · Manufacturing Letters · doi:10.1016/j.mfglet.2018.02.006 · Cited by 559 · cited 1× · see citing works
“DT involves a systems-of-systems integration of the different sources of data that include embedded sensors, wireless sensor networks, digitized building life-cycle data and systems, and integration with other cloud services and data providers (Haag & Anderl, 2018).”
MethodToward a Digital Twin for real-time geometry assurance in individualized production
Söderberg, R., Wärmefjord, K., Carlson, J. S., & Lindkvist, L. (2017) · CIRP Annals · doi:10.1016/j.cirp.2017.04.038 · Cited by 543 · cited 1× · see citing works
“The successful implementation of DT is also seen in the field of geometry assurance (Wärmefjord et al., 2017; Söderberg et al., 2017).”
Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange
Schroeder, G. N., Steinmetz, C., Pereira, C. E., & Espíndola, D. B. (2016) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2016.11.115 · Cited by 495 · cited 1× · see citing works
“PLM combines various business activities that deal with the creation, modification, and use of data to support all product lifecycle phases from design and production through use and maintenance to recycling and disposal (Schroeder et al, 2016).”
BackgroundZhang, H., Liu, Q., Chen, X., Zhang, D., & Leng, J. (2017) · IEEE Access · doi:10.1109/access.2017.2766453 · Cited by 471 · see citing works
Industrial Big Data as a Result of IoT Adoption in Manufacturing
Mourtzis, D., Vlachou, E. O., & Milas, N. T. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.07.038 · Cited by 452 · cited 1× · see citing works
“It was predicted that over 20 billion devices (mostly from the manufacturing industry) would be connected to the internet by 2020 (Mourtzis et al, 2016).”
BackgroundThe role of data fusion in predictive maintenance using digital twin
Liu, Z., Meyendorf, N., & Mrad, N. (2018) · AIP conference proceedings · doi:10.1063/1.5031520 · Cited by 364 · cited 5× · see citing works
“The definitions by Lui et al (2018) and Madni et al. (2019) focused on the ability of DT to improve over time based on the level of information update collected from the physical asset and used to monitor the performance of the physical asset.”
BackgroundMethodInfluentialOn the Integration of Agents and Digital Twins in Healthcare
Croatti, A., Gabellini, M., Montagna, S., & Ricci, A. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-01623-5 · Cited by 356 · cited 2× · see citing works
“A study by Croatti et al. (2020) focused on integrating agents and DT for trauma management in healthcare.”
BackgroundLaaki, H., Miché, Y., & Tammi, K. (2019) · IEEE Access · doi:10.1109/access.2019.2897018 · Cited by 273 · cited 6× · see citing works
“The DT platform used for remote robotic arm surgery includes Unity 3D and an Open virtual reality system (Laaki et al., 2019).”
BackgroundMethodInfluentialHe, Y., Guo, J., & Zheng, X. (2018) · IEEE Signal Processing Magazine · doi:10.1109/msp.2018.2842228 · Cited by 255 · cited 1× · see citing works
“Advances in IoT have improved the significance of Information Technology (IT) employed in modern industries by upgrading IT from solely providing surveillance-centric functions to building a comprehensive information framework of the industrial process (He et al., 2018).”
BackgroundManaging Health Care Organizations: Where Professionalism Meets Complexity Science
Anderson, R. A., & McDaniel, R. R. (2000) · Health Care Management Review · doi:10.1097/00004010-200001000-00010 · Cited by 247 · see citing works
Bhattacharjee, P., & Ray, P. K. (2014) · Computers & Industrial Engineering · doi:10.1016/j.cie.2014.04.016 · Cited by 216 · cited 1× · see citing works
“The DT solution for the logistics system involved designing an effective supply chain system, developing a strong RPA solution, and reducing the disruption of automation introduction (Bhattacharjee & Ray, 2014).”
MethodOffshore Wind Energy in Europe— A Review of the State‐of‐the‐Art
Henderson, A. R., Morgan, C., Smith, B. J., et al. (2003) · Wind Energy · doi:10.1002/we.82 · Cited by 212 · see citing works
Sivalingam, K., Sepúlveda, M., Spring, M., & Davies, P. (2018) · International Conference on Green Energy and Applications (ICGEA) · doi:10.1109/icgea.2018.8356292 · Cited by 203 · cited 5× · see citing works
“Sivalingam et al. (2018) identified that the factors that increased the cost of offshore power generation leading to increased O&M include failed transfer of technicians onto turbines, abandonment of technicians at the turbines due to unfavorable weather conditions, and failure of technicians to…”
BackgroundMethodInfluentialSDMSim: A manufacturing service supply–demand matching simulator under cloud environment
Tao, F., Cheng, J., Cheng, Y., Gu, S., Zheng, T., & Yang, H. (2016) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2016.07.001 · Cited by 191 · cited 7× · see citing works
“The manufacturing industry is profiting from the potential benefits of DT such as manufacturing with a closed-loop and optimization of the product design, manufacturing, and smart maintenance, repair, and overhaul (MRO) (Tao et al., 2017).”
BackgroundMethodInfluentialTowards next generation cyber-physical systems and digital twins for construction
Akanmu, A., Anumba, C., & Ogunseiju, O. O. (2021) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2021.027 · Cited by 159 · see citing works
Self-citationSacks, R., Kedar, A., Borrmann, A., Ma, L., Brilakis, I., Hüthwohl, P., Daum, S. O., Kattel, U., Yosef, R., Liebich, T., et al. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.02.033 · Cited by 146 · cited 2× · see citing works
“Another DT application in the construction industry defined the purpose of the DT for monitoring the state of a bridge (Sacks et al., 2018).”
BackgroundA Digital Twin-based Privacy Enhancement Mechanism for the Automotive Industry
Damjanović, V. (2018) · doi:10.1109/is.2018.8710526 · Cited by 132 · cited 2× · see citing works
“Damjanovic-Behrendt (2018) explained the processes implemented in Figure 3 to address DT-based privacy enhancement on smart cars to include: 1.”
BackgroundMethodDigital twin: current scenario and a case study on a manufacturing process
Roy, R. B., Mishra, D., Pal, S. K., Chakravarty, T., Panda, S., Chandra, M. G., Pal, A., Misra, P., Chakravarty, D., & Misra, S. (2020) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-020-05306-w · Cited by 128 · cited 2× · see citing works
“Some applications of DT in the manufacturing industry include DT for the manufacturing shop floor (Roy et al., 2020).”
BackgroundInfluentialCyber-physical systems integration of building information models and the physical construction
Akanmu, A., & Anumba, C. J. (2015) · Engineering, Construction and Architectural Management · doi:10.1108/ecam-07-2014-0097 · Cited by 122 · cited 1× · see citing works
“The cyber-physical systems ensure seamless integration between the virtual and physical models (Akanmu et al, 2012; Akanmu et al, 2013; Akanmu and Anumba, 2015).”
BackgroundSelf-citationAbramovici, M., Göbel, J. C., & Dang, H. B. (2016) · CIRP Annals · doi:10.1016/j.cirp.2016.04.051 · Cited by 118 · see citing works
Structural Health Management of Damaged Aircraft Structures Using Digital Twin Concept
Seshadri, B. R., & Krishnamurthy, T. (2017) · AIAA/AHS Adaptive Structures Conference · doi:10.2514/6.2017-1675 · Cited by 117 · see citing works
Challenges with Structural Life Forecasting Using Realistic Mission Profiles
Gockel, B., Tudor, A., Brandyberry, M., Penmetsa, R., & Tuegel, E. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA · doi:10.2514/6.2012-1813 · Cited by 91 · cited 2× · see citing works
“Another application of DT is on Airframe Digital Twin (ADT) used to assess flight state which helps determine damages in real-time (Gockel et al., 2012).”
BackgroundMethodTowards 5G Enabled Tactile Robotic TelesurgeryPreprint
Zhang, Q., Liu, J., & Zhao, P. G. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1803.03586 · Cited by 80 · see citing works
West, T. D., & Pyster, A. (2015) · Insight · doi:10.1002/inst.12022 · Cited by 74 · cited 1× · see citing works
“DT has also been applied in other areas such as the Department of Defense’s (DoD’s) Digital Engineering initiative which aims to connect systems and operations using interconnected and smart physical devices (West & Pyster, 2015).”
MethodBielefeldt, B. R., Hochhalter, J. D., & Hartl, D. J. (2015) · ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS) · doi:10.1115/smasis2015-8975 · Cited by 73 · cited 1× · see citing works
“DT was successfully implemented by Bielefeldt et al. (2015) to monitor damage in aircraft and was achieved using the wings of the aircraft.”
MethodInspection Data to Support a Digital Twin for Geometry Assurance
Wärmefjord, K., Söderberg, R. C., Lindkvist, L., Lindau, B., & Carlson, J. S. (2017) · doi:10.1115/imece2017-70398 · Cited by 72 · cited 1× · see citing works
“The successful implementation of DT is also seen in the field of geometry assurance (Wärmefjord et al., 2017; Söderberg et al., 2017).”
Emergence of Digital Twins - Is this the march of reason?
Datta, S. (2017) · Journal of Innovation Management · doi:10.24840/2183-0606_005.003_0003 · Cited by 62 · cited 4× · see citing works
“DT uses tools and technologies to map the stored data of the physical object (Palit & Datta, 2017), which helps to produce up-to-date information on the physical object.”
BackgroundMethodInfluentialTowards a Cyber-Physical Systems Approach to Construction
Anumba, C., Akanmu, A. A., & Messner, J. (2010) · ASCE Construction Research Congress (CRC) · doi:10.1061/41109(373)53 · Cited by 48 · see citing works
Self-citationCyber—physical systems development for construction applications
Anumba, C. J., Akanmu, A., Yuan, X., & Kan, C. (2021) · Frontiers of Engineering Management · doi:10.1007/s42524-020-0130-4 · Cited by 45 · cited 1× · see citing works
“Buildings could be designed with intelligent systems (sensors, actuators, controls, and more) which operate on the principle of cyber-physical systems – bi-directional coordination between the building’s components and the cyber world (Anumba et al, 2020; Anumba and Roofigari-Esfahan, 2020).”
BackgroundSelf-citationCyber-Physical Systems in the Built Environment
(2020) · Springer eBooks · doi:10.1007/978-3-030-41560-0 · Cited by 44 · see citing works
Prioritizing object types for modelling existing industrial facilities
Agapaki, E., Miatt, G., & Brilakis, I. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.09.011 · Cited by 43 · cited 5× · see citing works
“This was determined by Agapaki et al. (2018) who identified that the man-hours spent in modeling 53,834 pipes were around 5,200 labor hours, which can be employed in other productive areas if the digital models of the facilities are available. However, efforts are being made to automate the modeling process of existin…”
BackgroundMethodInfluentialTowards digital twins through object-oriented modelling: a machine tool case study
Scaglioni, B., & Ferretti, G. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.03.104 · Cited by 42 · see citing works
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“The Greenfield hospital is a large hospital with 1,800 beds, 8 medical towers of 7 levels each integrated with a common ground floor and two basements (Liu et al., 2020).”
BackgroundMethodInfluentialAn RTLS-Based Approach to Cyber-Physical Systems Integration in Design and Construction
Akanmu, A. A., Anumba, C. J., & Messner, J. I. (2012) · International Journal of Distributed Sensor Networks · doi:10.1155/2012/596845 · Cited by 24 · cited 11× · see citing works
“Sivalingam et al. (2018) identified that the factors that increased the cost of offshore power generation leading to increased O&M include failed transfer of technicians onto turbines, abandonment of technicians at the turbines due to unfavorable weather conditions, and failure of technicians to perform maintenance du…”
BackgroundInfluentialSelf-citationContributions to wind farm power estimation considering wind direction‐dependent wake effects
Feijóo, A., & Villanueva, D. (2016) · Wind Energy · doi:10.1002/we.2002 · Cited by 13 · see citing works
Braun, A., Tuttas, S., Stilla, U., & Borrmann, A. (2018) · Building Information Modeling · doi:10.1007/978-3-319-92862-3_28 · Cited by 12 · cited 4× · see citing works
“150 In a summarized context, Castaldini (2019) identified the four key components of a DT to include data (such as building systems, external data, and blueprint data), reasoning (such as AI/ML models or non-linear rules), key performance indicators (such as efficiency, emissions, net operating income and safety indic…”
BackgroundMethodInfluentialFacilities Management Interaction with Healthcare Delivery Process
Mohammadpour, A., Anumba, C., Bulbul, T., et al. (2012) · ASCE Construction Research Congress (CRC) · doi:10.1061/9780784412329.074 · Cited by 11 · see citing works
Self-citationÖzturk, G. B. (2021) · CRC Press eBooks · doi:10.1201/9781003017547-5 · Cited by 8 · see citing works
Consulting, C. (2015) · doi:10.1142/9789814689151_fmatter · Cited by 2 · see citing works
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Cited by
Sorted by citations
Shishehgarkhaneh, M. B., Keivani, A., Moehler, R., Jelodari, N., & Laleh, S. R. (2022) · Buildings · doi:10.3390/buildings12101503 · Cited by 244 · see citing works
Arowoiya, V., Moehler, R., & Fang, Y.-H. (2023) · Energy and Built Environment · doi:10.1016/j.enbenv.2023.05.004 · Cited by 173 · see citing works
The Role of BIM in Integrating Digital Twin in Building Construction: A Literature Review
Nguyen, T. D., & Adhikari, S. (2023) · Sustainability · doi:10.3390/su151310462 · Cited by 113 · see citing works
“The study adopted and built upon the framework developed by Khajavi et al. [20] and Feng et al. [29].”
BackgroundMethodInfluentialDigital twins: Recent advances and future directions in engineering fields
Iranshahi, K., Brun, J., Arnold, T., Sergi, T., & Müller, U. C. (2025) · Intelligent Systems with Applications · doi:10.1016/j.iswa.2025.200516 · Cited by 132 · see citing works
Methods for enabling real-time analysis in digital twins: A literature review
Eshaghi, M. S., Anitescu, C., & Rabczuk, T. (2024) · Computers & Structures · doi:10.1016/j.compstruc.2024.107342 · Cited by 114 · see citing works
Digital Twin Technology in Built Environment: A Review of Applications, Capabilities and Challenges
Mousavi, Y., Gharineiat, Z., Karimi, A. A., McDougall, K., Rossi, A., & Barsanti, S. G. (2024) · Smart Cities · doi:10.3390/smartcities7050101 · Cited by 117 · see citing works
“…for growth, with the potential to enhance construction productivity by as much However, between the years of 2005 to 2014, digitalisation adoption in the construction industry had a rate of 1.4%, notably lower than the Information and Communications Technology industry [27]. as 14% to 15% [3].”
InfluentialLong, W., Bao, Z., Chen, K., Ng, S. T., & Wuni, I. Y. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.102346 · Cited by 106 · see citing works
Wu, Z. Y., Chew, A., Meng, X., Cai, J., Pok, J., Kalfarisi, R., Lai, K. C., Hew, S. F., & Wong, J. (2023) · Sustainable cities and society · doi:10.1016/j.scs.2023.104446 · Cited by 86 · see citing works
Digital Twin for Fault Detection and Diagnosis of Building Operations: A Systematic Review
Hodavand, F., Ramaji, I. J., & Sadeghi, N. (2023) · Buildings · doi:10.3390/buildings13061426 · Cited by 93 · see citing works
“However, the complex process of the construction industry in management challenges and collecting high-dimension data has caused difficulties in convincing stakeholders of DT’s feasibility and investment in time and money [84,85].”
BackgroundData Fusion for Smart Civil Infrastructure Management: A Conceptual Digital Twin Framework
Hakimi, O., Liu, H., Abudayyeh, O. Y., Houshyar, A., Almatared, M., & Alhawiti, A. (2023) · Buildings · doi:10.3390/buildings13112725 · Cited by 99 · see citing works
Hananto, A., Tirta, A., Herawan, S., Idris, M., Soudagar, M. E. M., Djamari, D. W., & Veza, I. (2024) · De Computis · doi:10.3390/computers13040100 · Cited by 79 · see citing works
Integration of Digital Twin and Circular Economy in the Construction Industry
Meng, X., Das, S., & Meng, J. (2023) · Sustainability · doi:10.3390/su151713186 · Cited by 71 · see citing works
Digital Twins in Construction: Architecture, Applications, Trends and Challenges
Zhou, Y., Tang, C., Zhang, T., Zhang, Z., & Doan, D. T. (2024) · Buildings · doi:10.3390/buildings14092616 · Cited by 92 · see citing works
Construction 4.0 in a narrow and broad sense: A systematic and comprehensive literature review
van der Heijden, J. (2023) · Building and Environment · doi:10.1016/j.buildenv.2023.110788 · Cited by 70 · see citing works
Digital Twin-Enabled Smart Maritime Logistics Management in the Context of Industry 5.0
Zhou, F., Yu, K., Xie, W. C., Lyu, J., Zheng, Z., & Zhou, S. (2024) · IEEE Access · doi:10.1109/access.2024.3354838 · Cited by 66 · see citing works
“The digital twin technique has found widespread application in industrial, agricultural, and construction manufacturing [82], [83], [84].”
MethodDigital Twin-Based Health Care Facilities Management
Madubuike, O. C., & Anumba, C. (2023) · Journal of computing in civil engineering · doi:10.1061/jccee5.cpeng-4842 · Cited by 43 · see citing works
Self-citationReview of Digital Twins for Constructed Facilities
Khallaf, R., Khallaf, L., Anumba, C., & Madubuike, O. C. (2022) · Buildings · doi:10.3390/buildings12112029 · Cited by 64 · see citing works
Self-citationAbdulfattah, B. S., Abdel-Salam, H., Abdelsalam, M., Bolpagni, M., Thurairajah, N., Flórez, L., & Butt, T. E. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.105057 · Cited by 56 · see citing works
Construction digital twin: a taxonomy and analysis of the application-technology-data triad
Saif, W., RazaviAlavi, S., & Kassem, M. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105715 · Cited by 64 · see citing works
Geometric parameter updating in digital twin of built assets: A systematic literature review
Osadcha, I., Jurelionis, A., & Fokaides, P. A. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.106704 · Cited by 51 · see citing works
An Overview of Smart Materials and Technologies for Concrete Construction in Cold Weather
Nilimaa, J., & Zhaka, V. (2023) · Eng—Advances in Engineering · doi:10.3390/eng4020089 · Cited by 46 · see citing works
Abanda, F. H., Jian, N., Adukpo, S. E., Tuhaise, V. V., & Manjia, M. B. (2024) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02301-2 · Cited by 52 · see citing works
“As it stands, construction has a low adoption rate of digital twin and lags behind other industrial sectors like manufacturing (Madubuike et al., 2022).”
Kosse, S., Betker, V., Hagedorn, P., König, M., & Schmidt, T. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102677 · Cited by 48 · see citing works
Applications and challenges of digital twin intelligent sensing technologies for asphalt pavements
Wang, X., Zhang, Y., Li, H., Wang, C., & Feng, P. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105480 · Cited by 43 · see citing works
From building information modeling to construction digital twin: a conceptual framework
Revolti, A., Gualtieri, L., Pauwels, P., et al. (2024) · Production & Manufacturing Research · doi:10.1080/21693277.2024.2387679 · Cited by 38 · see citing works
“The DS is a virtual representation of a construction project or built asset that provides real-time insights into its status and performance during the construction and operation phases (Madubuike et al., 2022).”
Driving Circular Economy through Digital Technologies: Current Research Status and Future Directions
Chi, Z., Liu, Z., Wang, F., & Osmani, M. (2023) · Sustainability · doi:10.3390/su152416608 · Cited by 38 · see citing works
A tool-based system architecture for a digital twin: a case study in a healthcare facility
Harode, A., Thabet, W., & Dongre, P. (2023) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2023.006 · Cited by 35 · see citing works
Akhavan, M., Alivirdi, M., Jamalpour, A., Kheradranjbar, M., Mafi, A., Jamalpour, R., & Ravanshadnia, M. (2025) · Buildings · doi:10.3390/buildings15091491 · Cited by 35 · see citing works
Omrany, H., Al-Obaidi, K. M., Ghaffarianhoseini, A., Chang, R., Park, C., & Rahimian, F. P. (2025) · Engineering Construction & Architectural Management · doi:10.1108/ecam-10-2024-1376 · Cited by 34 · see citing works
Venkateswarlu, N., & Sathiyamoorthy, M. (2025) · Frontiers in Built Environment · doi:10.3389/fbuil.2025.1523464 · Cited by 36 · see citing works
Digital Twin Enabling Technologies for Advancing Road Engineering and Lifecycle Applications
Yan, Y., Lei, N., Sun, L., Wang, Y., & Zhou, J. (2024) · Engineering · doi:10.1016/j.eng.2024.12.017 · Cited by 39 · see citing works
Liu, L., Zeng, N., Liu, Y., Han, D., & König, M. (2024) · Developments in the Built Environment · doi:10.1016/j.dibe.2024.100475 · Cited by 29 · see citing works
Opportunities and Threats of Adopting Digital Twin in Construction Projects: A Review
Wang, M., Ashour, M., Mahdiyar, A., & Sabri, S. (2024) · Buildings · doi:10.3390/buildings14082349 · Cited by 29 · see citing works
Lee, J., Lee, Y., Park, S., & Hong, C. (2023) · Applied Sciences · doi:10.3390/app13169137 · Cited by 22 · see citing works
Ellul, C., Hamilton, N., Pieri, A., & Floros, G. S. (2024) · Buildings · doi:10.3390/buildings14072216 · Cited by 25 · see citing works
Digital twin framework to enhance facility management for relocatable modular buildings
Nguyen, T. D. H. N., Ly, D. H., Jang, H. B., Dinh, H. N. N., & Ahn, Y. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106249 · Cited by 27 · see citing works
A Bibliometrics-Based Systematic Review of Safety Risk Assessment for IBS Hoisting Construction
Junjia, Y., Alias, A. H., Haron, N. A., & Bakar, N. A. (2023) · Buildings · doi:10.3390/buildings13071853 · Cited by 27 · see citing works
Ohueri, C. C., Masrom, M. A. N., Habil, H., & Ambashe, M. S. (2023) · Engineering Construction & Architectural Management · doi:10.1108/ecam-08-2023-0827 · Cited by 25 · see citing works
Leveraging Local Digital Twins for planning age-friendly urban environments
Villanueva-Merino, A., Urra-Uriarte, S., Izkara, J. L., et al. (2024) · Cities · doi:10.1016/j.cities.2024.105458 · Cited by 23 · see citing works
The Future of Digital Twin Research and Development
Bossuyt, D. L. V., Allaire, D., Bickford, J. F., Bozada, T. A., Chen, W., Cutitta, R. P., Cuzner, R. M., Fletcher, K. M., Giachetti, R. E., Hale, B., et al. (2025) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4068082 · Cited by 24 · see citing works
Alnaser, A. A., & Elmousalami, H. H. (2025) · Applied Sciences · doi:10.3390/app15094675 · Cited by 33 · see citing works
Scenarios for digital twin deployment in healthcare facilities management
Madubuike, O. C., Anumba, C., & Agapaki, E. (2023) · Journal of Facilities Management · doi:10.1108/jfm-10-2022-0107 · Cited by 16 · see citing works
Self-citationDigital Twin-Enabled Infrastructures: A Bibliometric Analysis-Based Review
Taherkhani, R., Ashtari, M. A., & Aziminezhad, M. (2023) · Journal of Infrastructure Systems · doi:10.1061/jitse4.iseng-2323 · Cited by 25 · see citing works
Methodologies for Remote Bridge Inspection—Review
Ribeiro, D. R. F., Rakoczy, A. M., Cabral, R., Hoskere, V., Narazaki, Y., Santos, R., Tondo, G. R., Gonzalez, L., Matos, J. C., Futai, M. M., et al. (2025) · Sensors · doi:10.3390/s25185708 · Cited by 27 · see citing works
“…Virtual representations of physical entities [123] A model where each product is also directly connected with a virtual counterpart DTs have emerged as an innovative technology in asset management and lifecycle processes, particularly during the design, construction, and maintenance phases [124].”
Product digital twins: An umbrella review and research agenda for understanding their value
Medina, F. G., & Hernandez, V. M. (2024) · Computers in Industry · doi:10.1016/j.compind.2024.104181 · Cited by 23 · see citing works
Multisensory and BIM-Integrated Digital Twin to Improve Urban Excavation Safety
Liu, D.-H., Sun, C., Chen, J.-J., & Liu, L. (2023) · Journal of computing in civil engineering · doi:10.1061/jccee5.cpeng-5354 · Cited by 15 · see citing works
A Review of the Applications of Digital Twin Technology in Marine Research
Li, Y., Yu, D., Yang, L., Zhang, L.-Q., Chen, P., Tao, B., Wang, W., Kong, Q.-L., Dai, R.-H., Miao, B., et al. (2025) · China Ocean Engineering · doi:10.1007/s13344-025-0030-9 · Cited by 18 · see citing works
“This achievement highlights GE’s significant progress in the application of digital twin technology (Madubuike et al., 2022).”
Szymczak-Graczyk, A., Korentz, J., & Garbowski, T. (2025) · Materials · doi:10.3390/ma18184360 · Cited by 20 · see citing works
“Digital twins incorporate complex processes, such as vapor diffusion, capillary transport, and coupled hygrothermal phenomena, providing engineers and designers with effective tools for optimizing material selection and designing structures resistant to moisture-related degradation [31–33].”
The role of artificial intelligence in environmental sustainability
Patoucha, A., & Γαρείου, Ζ. (2024) · E3S Web of Conferences · doi:10.1051/e3sconf/202458511011 · Cited by 20 · see citing works
Zhang, Z., Fu, Y., & Sun, Z. H. (2025) · Structures · doi:10.1016/j.istruc.2025.109448 · Cited by 18 · see citing works
Digital twin non-fungible token (DT-NFT): Enabling data ownership in the AEC industry
Naderi, H., & Shojaei, A. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105777 · Cited by 14 · see citing works
Xames, M. D., & Topcu, T. G. (2025) · IEEE Access · doi:10.1109/access.2025.3559502 · Cited by 16 · see citing works
“DTs can enhance preventive maintenance strategies by moving away from the reactive ‘‘if it breaks, we fix it’’ approach towards a more proactive and informed maintenance strategy [95].”
Semantic digital twin framework for monitoring construction workflows
Zheng, Y., Barazi, A. A., Seppänen, O., Abou-Ibrahim, H., & Görsch, C. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106301 · Cited by 13 · see citing works
Cross-domain comparative analysis of digital twins and universalised solutions
Xiong, G., Li, H., & Gao, Y. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103726 · Cited by 14 · see citing works
Predictive simulation of construction site noise emissions from heavy equipment
Babazadeh, N., Teizer, J., Bargstädt, H., et al. (2024) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-08-2023-0226 · Cited by 12 · see citing works
How digital twin technology may improve safety management: A multi-industry perspective
Zou, P. X. W., & Ma, S. (2025) · Safety Science · doi:10.1016/j.ssci.2025.106837 · Cited by 13 · see citing works
Shehata, A. O., Farsangi, E. N., Morrison, G. M., Rashidi, M., Yang, T. Y., & Mirdan, M. M. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.115880 · Cited by 11 · see citing works
Toward Sustainable Development: Exploring the Value and Benefits of Digital Twins
Weichbroth, P., Jandy, K., & Zurada, J. M. (2024) · Telecom · doi:10.3390/telecom5030039 · Cited by 11 · see citing works
“In the construction domain, Madubuike et al. [97] claim that the process of deploying effective DT involves highly technical and complex steps.”
Alnaser, A. A., & Elmousalami, H. H. (2025) · Buildings · doi:10.3390/buildings15193543 · Cited by 14 · see citing works
A Systematic Approach To Investigate BIM Implementation in Turkish Construction Industry
Karaciğan, A., Özorhon, B., & Çağlayan, S. (2023) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2023.015 · Cited by 8 · see citing works
“Newton and Chileshe (2012) detected lack of understanding and awareness as the major barriers of BIM implementation in South Australia.”
BackgroundInfluence of Material on the Density of a Point Cloud Created Using a Structured-Light 3D Scanner
Kaiser, J., & Dědič, M. (2024) · Applied Sciences · doi:10.3390/app14041476 · Cited by 8 · see citing works
Daraio, C. C., Leo, S. D., & Orsini, J. (2025) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-025-00447-x · Cited by 10 · see citing works
Proposing a Five-Phase Framework Based on ISO 23247-1 for Digital Twins in Construction
Aydın, M. (2025) · Gazi University Journal of Science Part A Engineering and Innovation · doi:10.54287/gujsa.1680674 · Cited by 7 · see citing works
Voxel-Based Digital Twin Framework for Earthwork Construction
Khan, M. S., Cho, H. S., & Seo, J. (2025) · Applied Sciences · doi:10.3390/app15147899 · Cited by 7 · see citing works
Digital twin integration in metalworking: enhancing efficiency and predictive maintenance
Villegas-Ch, W. E., Gutierrez, R., & Govea, J. (2025) · Frontiers in Mechanical Engineering · doi:10.3389/fmech.2025.1655565 · Cited by 10 · see citing works
“This included a detailed breakdown of implementation and operation expenses and a quantitative evaluation of the savings and improvements generated by the technology (Madubuike et al., 2022).”
A technology readiness assessment approach for Digital Twin implementation in SMEs
Larmelina, S. D., SILVA, A. L. D., & RISSO, L. A. (2025) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-025-16370-5 · Cited by 7 · see citing works
“According to Madubuike et al. [25], the adoption of a Digital Twin is dependent on the management of data, security measures, and integration which are factors that are beyond the reach of many SMEs because of their financial situation.”
Digital Twins-enabled model for Smart Farming
Chauhan, D., Bahad, P., & Jain, R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28884-5.00020-8 · Cited by 9 · see citing works
Intelligent Acting Digital Twins (IADT)
Bounceur, A., & Kara, M. (2025) · IEEE Access · doi:10.1109/access.2025.3532545 · Cited by 10 · see citing works
“…fragility and brittleness of the system are the vague interface operations, which can trigger the cascade deceleration issue, and the system neglect of the whole set of digital twin workflows, which adds to the uncertainty of the digital twin services’ practical mouth-watering capabilities [20].”
Human-in-the-Loop Digital Twin Framework for Ergonomics of Exoskeletons in Construction
Afolabi, A. O., Yusuf, A. O., & Akanmu, A. A. (2024) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2024.048 · Cited by 7 · see citing works
Research on the intelligent construction of prefabricated building based on digital twin
Wen, Y. (2025) · Proceedings of the Institution of Civil Engineers - Structures and Buildings · doi:10.1680/jstbu.25.00086 · Cited by 7 · see citing works
Schery, C. A. D., Caiado, R. G. G., Ivson, P., Santos, R. S., & Corseuil, E. T. (2026) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-08-2025-0502 · Cited by 7 · see citing works
Khoshkenar, A., & Nassereddine, H. (2024) · International Conference on Electrical, Computer and Energy Technologies (ICECET) · doi:10.1109/icecet61485.2024.10698251 · Cited by 6 · see citing works
“…virtual representations of construction processes, assets, and systems have gained significant traction for life cycle management, monitoring, and control which requires integrated IT infrastructure spanning sensors, networks, data platforms, simulation analytics, and interfaces [12], [13].”
BackgroundDigital Twins and Sustainable Development Goals
Saleeb, N. (2024) · doi:10.1002/9781119902317.ch3 · Cited by 6 · see citing works
ConstrucTwin: Digital Twin-Driven Multirobot Construction System Toward Industry 5.0
Liu, Z., Silva, J. B., Zhong, R., Qin, Q., Roy, N., Fernandez-Ayala, V. N., Lesko, J., Håkansson, U., Sandberg, S., Dimarogonas, D. V., et al. (2026) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2026.3658622 · Cited by 5 · see citing works
“It exhibits promising potential in specific construction scenarios, e.g., progress monitoring and performance management [19].”
Dong, Y., Reffat, R. M., & Liang, R. (2026) · Sustainable Cities and Society · doi:10.1016/j.scs.2026.107429 · Cited by 5 · see citing works
Oke, A. E., Arowoiya, V. A., Chan, M., & Oyediran, A. O. (2024) · International Journal of Construction Management · doi:10.1080/15623599.2024.2411885 · Cited by 7 · see citing works
“However, streaming services and predictive analytics are still growing but only adopted in tech-savvy organizations (Madubuike et al. 2022; Alvarenga et al. 2024).”
Digital Twins as Enabler for Long Term Data Management Using Building Logbooks
Al-Sadoon, N., Fauth, J., & Menzel, K. (2023) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-42622-3_48 · Cited by 5 · see citing works
DIGITAL TWIN APPLICATION IN CONSTRUCTION COST MANAGEMENT
Che Haron, R., & Muhd Zafir, N. B. (2025) · PLANNING MALAYSIA · doi:10.21837/pm.v23i35.1665 · Cited by 6 · see citing works
On‐Board Digital Twin Based on Impedance and Model Predictive Control for Aerial Robot Grasping
Qahmash, A., Al‐Darraji, I., Khadidos, A. O., Tsaramirsis, G., Khadidos, A. O., & Alghamdi, M. H. (2023) · Journal of Sensors · doi:10.1155/2023/9662100 · Cited by 5 · see citing works
“Constructions DT is applied with cyberphysical systems to (1) enhance control and automation in the constructions [11] and (2) help in the design and maintenance in a company [12].”
MethodA Review of Benefits Using Artificial Intelligence in Construction
Zohourian, M., Pamidimukkala, A., & Kermanshachi, S. (2025) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784486191.032 · Cited by 4 · see citing works
Owais, O. A., Poshdar, M., GhaffarianHoseini, A., Ying, F., Jaafar, K., Sarhan, S., & Sheikhkhoshkar, M. (2025) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2025.058 · Cited by 4 · see citing works
“Similarly, Madubuike et al. (2022) point out that while DT applications are growing in construction, there is limited evidence of formalised frameworks linking these technologies to project management capabilities.”
Wang, Y., Rezaei, A., & Hicks, S. (2026) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2026.007 · Cited by 12 · see citing works
Circular economy in the construction sector: current trends and future outlook
Haddaji, Y., Majdoubi, H., Safhi, A. E. M., Nadi, M., Oumam, M., Manoun, B., & Hannache, H. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-23895-6.00014-5 · Cited by 5 · see citing works
Solmaz, A. Ş. (2025) · Journal of Innovative Engineering and Natural Science · doi:10.61112/jiens.1572660 · Cited by 5 · see citing works
ASLAN, M. M. (2024) · Gaziantep University Journal of Social Sciences · doi:10.21547/jss.1514231 · Cited by 5 · see citing works
Qi, Y., Xia, Z., Li, X., Liu, Z., Chen, Z., Li, J., Wang, Y., & Wang, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0332449 · Cited by 4 · see citing works
“Acquisition Layer A A 1 Sensing forms [6], [48] A 2 Sensing capability [49], [50,51] A 3 Network infrastructure [52], [53] Data Layer B B 1 Data transmission [54], [55] B 2 Data quality [56], [31,57] B Safety management capability [20], [72,73] E 6 personnel management capability [75], [76] E 7…”
Pham, T.-A., Ioannou, P. G., & Likhitruangsilp, V. (2026) · International Journal of Construction Management · doi:10.1080/15623599.2026.2651946 · Cited by 4 · see citing works
DOĞRUÖZ, C. B., & Erbaş, İ. (2024) · PLANARCH - Design and Planning Research · doi:10.54864/planarch.1467103 · Cited by 4 · see citing works
Opportunities and challenges of digital twin applications in the Middle East construction industry
Barham, D., Matarneh, S. T., Tezel, A., Hasan, S., & Mereb, W. (2025) · Urbanization, sustainability and society. · doi:10.1108/uss-07-2024-0041 · Cited by 6 · see citing works
Borghoff, U. M., Pfeiffer, E., & Rödig, P. (2024) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2024.027 · Cited by 3 · see citing works
Application of digital twin technology in mining machinery education
Su, C., Huang, H., Wei, Z., et al. (2025) · International Journal of Mechanical Engineering Education · doi:10.1177/03064190241308472 · Cited by 2 · see citing works
“Madubuike et al. 18 further discussed the role of digital twins in architecture, emphasizing their importance in project management and process optimization.”
Salih, F., & El-adaway, I. H. (2025) · Journal of Architectural Engineering · doi:10.1061/jaeied.aeeng-1979 · Cited by 2 · see citing works
A devops framework for the systematic engineering and evolution of digital twins for built assets
Aissat, S., Beaulieu, J., Poirier, É., et al. (2025) · Software & Systems Modeling · doi:10.1007/s10270-025-01330-0 · Cited by 2 · see citing works
Doukari, O., Bacnak, T. Z. B. T. Z., & Mahamedi, E. (2026) · Energy and Buildings · doi:10.1016/j.enbuild.2026.116979 · Cited by 2 · see citing works
An intelligent construction system based on digital twin and foundation model optimization
Guo, F., Wang, C., Sun, J., Huang, K., & Wang, X. (2026) · Journal of Civil Engineering and Management · doi:10.3846/jcem.2026.26154 · Cited by 3 · see citing works
A Concise Review on the Concept of Metaverse
Andembubtob, D. R., Keikhosrokiani, P., & Abdullah, N. L. (2023) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-6684-7029-9.ch003 · Cited by 2 · see citing works
Unmanned Aerial Systems (UAS)-Derived 3D Models for Digital Twin Construction Applications
Martinez, J. G., Alarcon, L. A., & Wandahl, S. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1004746 · Cited by 2 · see citing works
A taxonomy of built asset information coupling
Davari, S., & Poirier, É. (2024) · Frontiers of Engineering Management · doi:10.1007/s42524-024-0303-7 · Cited by 2 · see citing works
“In contrast, bi-directional states allow for two-way information flow between different components or parts of the built assets, enabling communication and interaction in a more dynamic and interconnected manner (Madubuike et al., 2022).”
Performance Comparison of ESP-r in Containers vs Virtual Machines for Digital Twins
Jawara, F., Seeam, A. K., & Ramsurrun, V. (2024) · International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) · doi:10.1109/icabcd62167.2024.10645255 · Cited by 2 · see citing works
“This integration facilitates the optimization of building designs for energy efficiency and sustainability [9].”
BackgroundDefining a System Architecture for Operational Digital Twins for Predictive Maintenance
Asare, K. A. B., Liu, R., & Anumba, C. (2024) · American Society of Civil Engineers eBooks · doi:10.1061/9780784485606.ch6 · Cited by 2 · see citing works
Self-citation
- Authors
- Madubuike, O. C., Anumba, C. J., & Khallaf, R.
- Affiliations
- University of Florida (US)
- Future University in Egypt (EG)
- Venue
- Journal of Information Technology in Construction
- Published
- 2022-02-23
- Volume
- 27
- Pages
- 145-172
- ISSN
- 1400-6529 (ISSN-L)
- 1874-4753
- OpenAlex
- W4213210214
- Semantic Scholar
- 70c9cdcb24147c6c71037c3e473581dde02ad6ab
- Cited by
- 147
- References
- 60
- Citations by year
- 2026: 25 · 2025: 51 · 2024: 39 · 2023: 28 · 2022: 4
- FWCI
- 13.12
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Information Technology in Construction (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Building and Construction › Construction Management and Sustainability
- Keywords
- digital twin, construction industry, cyber-physical systems, real-time data, facility design and construction, facility operation and maintenance, digital twin applications
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