基于随机搜索的有限元模型多次独立修正难以反映桥梁随着服役时间增加而产生的结构性能退化以及构件病害不断加深和向邻近构件扩展的动态规律。本文基于Cuckoo Search Algorithm(CS算法),提出一种考虑结构性能退化的桥梁有限元模型动态校准方法,首先对CS算法编码对应的待修正参数集合分为病害构件、与病害构件相邻构件和其他构件三组,然后采用不同的策略对每组编码进行初始化,进而设置每次修正时待修正参数上限为上一次修正结果,最后通过设定不同的步长控制因子限定每组编码的搜索范围。文末采用一座单跨桁架桥对方法的有效性进行了验证。研究结果表明：基于CS算法的有限元模型动态校准方法能够对桥梁的有限元模型进行动态修正,动态修正后的有限元模型能够反映病害随时间不断加深以及向邻近构件扩展的桥梁服役性能时变规律。

The multiple independent updating of finite element models based on the random search is difficult to describe the dynamic laws of the structural performance degradation and the component damage deepening and expanding to adjacent components as the service time of the bridge increases. This paper proposes a dynamic calibration method for bridge finite element models considering structural performance degradation based on the Cuckoo Search Algorithm (CS algorithm). Firstly, the set of parameters to be updated corresponding to the code of the CS algorithm is divided into three groups: diseased components, adjacent components to diseased components, and other components. Then, different strategies are used to initialize each group of codes, and the upper limit of the parameters to be updated is set to the previous updating result. Finally, the search range for each group of codes is limited by setting different control factors for the step sizes. At the end of the paper, a single span truss bridge was used to verify the effectiveness of the proposed method. The research results indicate that the dynamic calibration method of the finite element model based on the CS algorithm can dynamically calibrate the finite element model of bridges. The dynamically calibrated finite element model can describe the time-varying behavior of the operation performance of bridges as the disease deepens over time and extends to adjacent components.

U311

国家自然科学基金项目（面上项目，重点项目，重大项目）