哈尔滨工程大学学报2026，Vol.47Issue(8)：1715-1723,9.DOI:10.11990/jheu.202503026
基于时变随机车致响应概率特征的中小跨桥梁刚度异常识别
Analysis of abnormal stiffness identification for medium-and small-span bridges based on probabilistic characteristics of time-varying stochastic vehicle-induced responses
摘要
Abstract
Structural resistance degradation and stiffness loss inevitably occur with prolonged bridge service.Accu-rate identification of bridge stiffness anomalies is of great significance for bridge operation and maintenance.To ad-dress the drawbacks of insufficient damage sensitivity in conventional vibration-based monitoring methods and lim-ited research on static response-based methods,a novel method is developed to evaluate long-term structural perfor-mance evolution based on the probabilistic correlation of stochastic vehicle-induced responses.The relationship be-tween probabilistic features of vehicle-induced responses and structural stiffness parameters is derived theoreti-cally,and peak mean earth mover's distance(PEMD)accounting for time-varying traffic volume is adopted as the stiffness anomaly indicator.The framework for stiffness anomaly identification using long-term statistical character-istics of vehicle-induced responses is summarized,covering response acquisition,early-warning threshold determi-nation and long-term online identification.The effectiveness of the presented approach is validated using field monitoring data from a continuous girder bridge.Results indicate that the method capably identifies stiffness loss exceeding 10％in medium-and small-span bridges.关键词
刚度异常识别/随机车致响应/中小跨桥/结构健康监测/长期性能演化/推土机距离Key words
stiffness anomaly identification/stochastic vehicle-induced response/medium-and small-span bridge/structural health monitoring/long-term performance evolution/earth mover's distance分类
交通工程引用本文复制引用
管泽鑫,杨东辉,王凯,张冠华,伊廷华..基于时变随机车致响应概率特征的中小跨桥梁刚度异常识别[J].哈尔滨工程大学学报,2026,47(8):1715-1723,9.基金项目
国家自然科学基金项目(52078102,52322807,52250011). （52078102,52322807,52250011）
