Finite Element Model Updating of Single Pylon Cable-stayed Bridges Based on ANN and Substructure
In order to obtain the contemporary state for the cable replacement project of one certain existing single pylon cable-stayed bridge with double cable plane, a new combined method for finite element model updating is proposed.In the light of the parameterized model updating theory, the relative sensitivities of the calculat ed design parameters are analyzed to determine the will be modified parameters.Substructure method is in troduced in the model updating process for meet the requirement of the parameters discreteness, and the cal culated parameters in each substructure is regard as invariables.The radial basis function neural network (RBF) is adopted as the optimization algorithm of model updating.Combination the substructure method and RBF, the intrinsic inverse problem of finite element model updating is transformed as the forward problem.The substructure partition, RBF neural network construction and its input and output parameters determination are discussed as well.Take one certain existing single pylon cable-stayed bridge as the case study for verifying the proposed combined model updating algorithm.The result shows that the discrepancy between the calculated value and measured valued decreased dramatically before and after the finite element model updating.
Deshan Shan Dehao Ding Qiao Li Erhua Zhang
Bridge Engineering Department, Southwest Jiaotong University, Chengdu, China
国际会议
哈尔滨
英文
773-781
2013-07-06（万方平台首次上网日期，不代表论文的发表时间）