- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
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| Citation: | GUO Jian, HU Chenyu. Research Progress on Disaster-Causing Mechanisms and Monitoring Assessment of Flood Impact and Scour on Bridges[J]. Journal of Southwest Jiaotong University, 2026, 61(3): 731-749. doi: 10.3969/j.issn.0258-2724.20260098
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With the frequent occurrence of extreme rainstorms and flood events, water damage of bridges induced by flood impact and scour has become one of the primary factors threatening safe operation. The entire disaster-causing process of bridges induced by flood impact and scour was studied, and the research progress in four aspects, namely scour development mechanisms, structural dynamic responses, intelligent monitoring and early warning, and comprehensive risk assessment, was emphatically discussed and systematically reviewed. From three dimensions of hydrological conditions, structural parameters, and sediment characteristics, the research on the physical mechanisms and evolution laws of local scour around bridge foundations was analyzed. Under the coupling action of hydrodynamic loads and foundation scour, the dynamic response characteristics and typical failure modes of the bridge superstructure, piers and abutments, and foundation system were elucidated. In terms of monitoring and early warning, the monitoring methods based on acoustic, optical, electrical, and mechanical principles were reviewed, and the application potential and current limitations of data-driven and artificial intelligence models in scour depth prediction were emphatically analyzed. At the level of risk assessment, the paradigm evolution from traditional deterministic analysis to probabilistic vulnerability and systemic resilience evaluation was systematically summarized. Based on the shortcomings of existing research, key future research directions were identified, including the scour mechanisms under complex unsteady hydrology and wave-current coupling conditions, the performance evolution of structural systems under the action of multiple disaster chains, the intelligent perception and dynamic early warning of bridges under flood impact and scour based on multi-source information fusion, and the construction of risk and resilience assessment frameworks toward the whole life cycle. Reference can be provided for theoretical research and engineering practice aimed at enhancing the flood impact and scour resilience of bridges.
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