Bridge management through digital twin-based anomaly detection systems: A systematic review

Frontiers in Built Environment

Built Environment

Alejandro Jiménez Rios¹  Vagelis Plevris²  Maria Nogal³ 

[1] Department of Built Environment, Oslo Metropolitan University (OsloMet), Oslo, Norway;Department of Civil and Architectural Engineering, Qatar University, Doha, Qatar;Department of Materials, Mechanics, Management and Design, Delft University of Technology, Delft, Netherlands;

关键词: bridges;    digital twins;    anomaly detection algorithms;    finite element method;    cultural heritage conservation;    bridge information modeling;    bridge health monitoring;   

DOI  :  10.3389/fbuil.2023.1176621

 received in 2023-02-28, accepted in 2023-03-28,  发布年份 2023

来源: Frontiers

【 摘 要 】

Bridge infrastructure has great economic, social, and cultural value. Nevertheless, many of the infrastructural assets are in poor conservation condition as has been recently evidenced by the collapse of several bridges worldwide. The objective of this systematic review is to collect and synthesize state-of-the-art knowledge and information about how bridge information modeling, finite element modeling, and bridge health monitoring are combined and used in the creation of digital twins (DT) of bridges, and how these models could generate damage scenarios to be used by anomaly detection algorithms for damage detection on bridges, especially in bridges with cultural heritage value. A total of 76 relevant studies from 2017 up to 2022 have been taken into account in this review. The synthesis results show a consensus toward the future adoption of DT for bridge design, management, and operation among the scientific community and bridge practitioners. The main gaps identified are related to the lack of software interoperability, the required improvement of the performance of anomaly-detection algorithms, and the approach definition to be adopted for the integration of DT at the macro scale. Other potential developments are related to the implementation of Industry 5.0 concepts and ideas within DT frameworks.

【 授权许可】

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Copyright © 2023 Jiménez Rios, Plevris and Nogal.