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

Abstract

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.

Evolution of Digital Twin Frameworks in Bridge Management: Review and Future Directions

“…As an example, a learning-based data anomaly detection method was proposed by Bao et al [70] for bridge condition assessment. Moreover, a review of DT-based anomaly detection systems is presented in [20].…”

“…Honghong et al [12] conducted a review comparing and analyzing 116 documents on BIM and DT, suggesting a DT-enhanced BIM framework to promote comprehensive digital bridge engineering throughout its lifecycle. Rios et al [20] reviewed a total of 76 relevant studies from 2017 to 2022, identifying gaps such as software interoperability, enhancing anomaly-detection algorithms, and defining fusion approaches for DTs at the macro-scale. Hosamo et al [21] carried out a review focusing on papers from 2017 to 2022, underscoring information standardization as a notable obstacle that needs to be addressed for the construction sector to fully leverage DT utilization.…”

Digital twin-driven prognostics and health management for industrial assets

“…For DT-PHM reviews targeting faults of industrial assets, only five are currently available for limited objects or scenarios. These reviews introduced the fault detection of building assets 10 – 12 fault prediction of wind turbine 13 , and abnormality information management of optical communication process 14 .…”

The Intention of Bridge Asset Management Implementation in Indonesia

“…This system helps managers make better decisions by considering different factors. Additionally, advanced technologies like Building Information Modeling (BIM) and Unmanned Aerial Systems (UAS) can improve bridge inspections and management, especially with BMS [8][9][10][11]. These technologies play a crucial role in making BMS implementation more efficient, particularly in tasks like inspections and data management.…”