State-of-art review on load identification and response reconstruction to realize digital twin of infrastructures

The digital twin (DT) technique for infrastructures has been developed and attracted a significant amount of attention since 2020. Nonetheless, the key technologies used for DT, including load identification (LID), response reconstruction (RRE), and damage detection, have a much longer history than DT itself. By employing these methods, cyber models are established and updated to represent the operational state of a real structure, and meanwhile, the monitored data at discrete locations can be expanded to the full-field of the structure to realize DT. In this work, the LID and RRE methods for civil infrastructures under quasi-static and dynamic loading actions are comprehensively reviewed. In LID, four types of formulations are derived, and four solutions are summarized to address the inherent ill-posed problems. In RRE, the model- and data-driven methods are reviewed with five levels of performance. Subsequently, several full-field sensing techniques are introduced. The pros, cons, and features of these methods are highlighted. The challenges and prospects in LID and RRE are summarized to outline the future trend for in-service infrastructure digitalization.

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Publication Details

Journal
Advances in Structural Engineering
Published
2025-03-20
DOI
https://doi.org/10.1177/13694332251321196
Citations
2
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
1.91
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article

State-of-art review on load identification and response reconstruction to realize digital twin of infrastructures

Lanxin Luo, Yixian Li, Xiaoqing Zhou, Xiaoyou Wang et al.
2 citations
Advances in Structural Engineering
Structural Health Monitoring Techniques
1.91
article

State-of-art review on load identification and response reconstruction to realize digital twin of infrastructures

Lanxin Luo, Yixian Li, Xiaoqing Zhou, Xiaoyou Wang, Yong Xia, Limin Sun
article en
2 citations

Abstract

The digital twin (DT) technique for infrastructures has been developed and attracted a significant amount of attention since 2020. Nonetheless, the key technologies used for DT, including load identification (LID), response reconstruction (RRE), and damage detection, have a much longer history than DT itself. By employing these methods, cyber models are established and updated to represent the operational state of a real structure, and meanwhile, the monitored data at discrete locations can be expanded to the full-field of the structure to realize DT. In this work, the LID and RRE methods for civil infrastructures under quasi-static and dynamic loading actions are comprehensively reviewed. In LID, four types of formulations are derived, and four solutions are summarized to address the inherent ill-posed problems. In RRE, the model- and data-driven methods are reviewed with five levels of performance. Subsequently, several full-field sensing techniques are introduced. The pros, cons, and features of these methods are highlighted. The challenges and prospects in LID and RRE are summarized to outline the future trend for in-service infrastructure digitalization.

Advances in Structural EngineeringVol. 28(10)
Tongji University (CN), Hong Kong Polytechnic University (HK), Shenzhen University (CN)
Openalex Percentile: Top 17%
Structural Health Monitoring Techniques
1.91
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State-of-art review on load identification and response reconstruction to realize digital twin of infrastructures — Lanxin Luo, Yixian Li, et al. · Advances in Structural Engineering (2025) | TGRS Research Map | TGRS