Review of anomaly detection in large span bridges: available methods, recent advancements and future trends

Abstract

During the life-cycle service of the constructed large span bridges, they face various threats every day due to the sophisticated operational environments. To ensure the structural safety, it is necessary to detect potential anomaly. Based on different inspection, monitoring and analysis technique, huge amounts of data that direct or indirect reflect structural characteristics can be obtained, and hence the anomaly detection methods developed. In order to provide a summary of relevant information needed by researchers to realize what is concerned about and how current practices deal with these issues, then further promote the application, this paper reviews understanding of anomaly detection in large span bridges. It starts with an analysis of concerned parameters, including dynamic and static structural parameters of a bridge. The various data sources are then commented. Next, existing anomaly detection methods are reviewed and classified. Finally, this paper concisely provides recent progress and discusses future research trends based on the identified knowledge gaps. We hope that this review will help development in this field.

Keywords

Anomaly detection / Large span bridge / Time series / Structural health monitoring / Intelligent algorithm

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Funding

Science Foundation of Zhejiang Sci-Tech University(22052331-Y); General Science Research Project of Department of Education of Zhejiang Province(Y202354008); National Key Research and Development Program of China(2022YFB3706704); Academician Special Science Research Project of CCCC(YSZX-03-2022-01-B)