Cited by 98Digital Transformation in IndustryInfrastructure Maintenance and MonitoringBIM and Construction Integration

Literature review of digital twin technologies for civil infrastructure

Open access
Liu, Cheng, Zhang, Peining, Xu, Xuebing·2023·Journal of Infrastructure Intelligence and Resilience

Abstract

Currently, there are numerous drawbacks associated with infrastructure health monitoring and management, such as inefficiency, subpar real-time functionality, demanding data requirements, and high cost. Digital twin (DT), a hybrid of a computational simulation and an actual physical system, has been proposed to overcome these challenges and become increasingly popular for modeling civil infrastructure systems. This literature review summarized different methods to build digital twins in civil infrastructure. In addition, this review also introduced the current progress of digital twins in different infrastructure sectors, including smart cities and urban spaces, transport systems, and energy systems, along with detailed examples of their various applications. Finally, the current challenges in digital twin technologies for civil infrastructure are also highlighted.

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Crossref · 10.1016/j.iintel.2023.100050

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References 100 · Cited by 98

Authors
Liu, C., Zhang, P., & Xu, X.
Affiliations
City University of Hong Kong (HK)
Corresponding author
Liu, Cheng
Venue
Journal of Infrastructure Intelligence and Resilience
Publisher
Elsevier BV
Published
2023-09
Volume
2
Issue
3
Pages
100050
ISSN
2772-9915 (ISSN-L)
OpenAlex
W4383197099
Cited by
98
References
100
Citations by year
2026: 30 · 2025: 31 · 2024: 31 · 2023: 6
FWCI
13.01
Type
journal article
Language
en
Open access
Locations
  • Journal of Infrastructure Intelligence and Resilience (publishedVersion, cc-by-nc-nd)
  • CityU Scholars (submittedVersion, cc-by-nc-nd)
Funders
City University of Hong Kong (9610612)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
  • Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
Keywords
digital twin, civil infrastructure, infrastructure health monitoring, infrastructure management, smart cities, transport systems, energy systems, infrastructure modeling, real-time monitoring

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