The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges
Open accessAbstract
The concept of digital twins is proposed as a new technology-led advancement to support the processes of the design, construction, and operation of built assets. Commonalities between the emerging definitions of digital twins describe them as digital or cyber environments that are bidirectionally-linked to their physical or real-life replica to enable simulation and data-centric decision making. Studies have started to investigate their role in the digitalization of asset delivery, including the management of built assets at different levels within the building and infrastructure sectors. However, questions persist regarding their actual applications and implementation challenges, including their integration with other digital technologies (i.e., building information modeling, virtual and augmented reality, Internet of Things, artificial intelligence, and cloud computing). Within the built environment context, this study seeks to analyze the definitions and characteristics of a digital twin, its interactions with other digital technologies used in built asset delivery and operation, and its applications and challenges. To achieve this aim, the research utilizes a thorough literature review and semi-structured interviews with ten industry experts. The literature review explores the merits and the relevance of digital twins relative to existing digital technologies and highlights potential applications and challenges for their implementation. The data from the semi-structured interviews are classified into five themes: definitions and enablers of digital twins, applications and benefits, implementation challenges, existing practical applications, and future development. The findings provide a point of departure for future research aimed at clarifying the relationship between digital twins and other digital technologies and their key implementation challenges.
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Citations
Cites
Digital 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×
“The interview participants viewed digital twins as a twoway interaction between a virtual model and physical asset, which has been highlighted by several authors [12,30].”
BackgroundDigital twin: Enabling technologies, challenges and open research
Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020) · IEEE Access · doi:10.1109/access.2020.2998358 · Cited by 2,965
The 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 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404
Digital twin: values, challenges and enablers from a modeling perspective
Rasheed, A., San, O., & Kvamsdal, T. (2020) · IEEE Access · doi:10.1109/access.2020.2970143 · Cited by 1,952
Succar, B. (2009) · Automation in Construction · doi:10.1016/j.autcon.2008.10.003 · Cited by 1,741
Digital 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
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
Shaping 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
Digital Twin—The Simulation Aspect
Boschert, S., & Rosen, R. (2016) · Mechatronic Futures · doi:10.1007/978-3-319-32156-1_5 · Cited by 1,158 · cited 2×
“These authors cited Boschert and Rosen [29] who stated that a digital twin is essentially a collection of only those relevant data that may serve the intended purpose of digital twin creation.”
BackgroundLeveraging 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 8×
“Increased collaboration ✓ ✓ [26] Time management ✓ ✓ [35] Budget management ✓ ✓ [9] Project simulation analysis ✓ ✓ [9], [26] Project simulation analysis in context with surroundings ✓ [34]; [15]”
BackgroundInfluential
Cited by
AI in structural health monitoring for infrastructure maintenance and safety
Plevris, V., & Papazafeiropoulos, G. (2024) · Infrastructures · doi:10.3390/infrastructures9120225 · Cited by 132
Literature review of digital twin technologies for civil infrastructure
Liu, C., Zhang, P., & Xu, X. (2023) · Journal of Infrastructure Intelligence and Resilience · doi:10.1016/j.iintel.2023.100050 · Cited by 98
A review of drivers and barriers of Digital Twin adoption in building project development processes
Jahangir, M. F., Schultz, C. P. L., & Kamari, A. (2024) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2024.008 · Cited by 34
Kang, M.-S., Lee, D.-H., Bajestani, M. S., Kim, D. B., & Noh, S. D. (2024) · Machines · doi:10.3390/machines13010019 · Cited by 32
Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions
Naderi, H., & Shojaei, A. (2022) · IEEE Access · doi:10.1109/access.2022.3223557 · Cited by 31
Metadata
- Authors
- Shahzad, M., Shafiq, M. T., Douglas, D., & Kassem, M.
- Venue
- Buildings
- Publisher
- MDPI AG
- Published
- 2022-01-25
- Volume
- 12
- Issue
- 2
- Pages
- 120
- ISSN
- 2075-5309 (ISSN-L)
- OpenAlex
- W4210516792
- Cited by
- 325
- References
- 49
- FWCI
- 28.71
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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