Digital twin application in the construction industry: A literature review
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Currently, Digital Twin applications in construction focus primarily on life cycle analysis and the design phase, where Building Information Modeling (BIM) serves as a fundamental tool.
“Currently, Digital Twin applications in construction focus primarily on life cycle analysis and the design phase, where Building Information Modeling (BIM) serves as a fundamental tool [46].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [46]
Cites
bibliometrix: An R-tool for comprehensive science mapping analysis
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Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses
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Digital Twin in Industry: State-of-the-Art
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391 · see citing works
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
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Digital Twin in manufacturing: A categorical literature review and classification
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Digital twin-driven product design, manufacturing and service with big data
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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 · see citing works
Leveraging Digital Twin Technology in Model-Based Systems Engineering
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Construction with digital twin information systems
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The modelling and operations for the digital twin in the context of manufacturing
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The Airframe Digital Twin: Some Challenges to Realization
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Exploring the role of digital twin for asset lifecycle management
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A Digital Twin Architecture Based on the Industrial Internet of Things Technologies
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Attaran, M., & Celik, B. G. (2023) · Decision Analytics Journal · doi:10.1016/j.dajour.2023.100165 · Cited by 704 · see citing works
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Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review
Ba, L., Tangour, F., El Abbassi, I., & Absi, R. (2025) · Sustainability · doi:10.3390/su17083560 · Cited by 96 · see citing works
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Siracusano, G., Garescì, F., Finocchio, G., Tomasello, R., Lamonaca, F., Scuro, C., Carpentieri, M., Chiappini, M., & La Corte, A. (2021) · Applied Sciences · doi:10.3390/app112412059 · Cited by 39 · see citing works
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- Authors
- Opoku, D.-G. J., Perera, S., Osei-Kyei, R., & Rashidi, M.
- Affiliations
- Western Sydney University (AU)
- Corresponding author
- Opoku, De-Graft Joe
- Venue
- Journal of Building Engineering
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 40
- Pages
- 102726
- ISSN
- 2352-7102 (ISSN-L)
- OpenAlex
- W3163698194
- Cited by
- 753
- References
- 15
- Citations by year
- 2026: 125 · 2025: 183 · 2024: 195 · 2023: 162 · 2022: 79 · 2021: 9
- FWCI
- 51.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Building Engineering (publishedVersion)
- Funders
- University of Western Sydney
- 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, building information modeling, facility management, construction monitoring, construction logistics, energy simulation, construction project life cycle, construction productivity
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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