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作 者:李晓涛 王露露 LI Xiao-tao;WANG Lu-lu(Henan GEM Engineering Management Consulting Co.,LTD.,Luoyang Henan 471000,China)
机构地区:[1]河南璟信工程管理咨询有限公司,河南洛阳471000
出 处:《计算机仿真》2025年第1期430-434,共5页Computer Simulation
基 金:洛阳市科技计划项目(JCZ20189)。
摘 要:车辆行驶在桥梁上产生的动力载荷会与桥梁产生耦合振动效应,造成振动特征的模糊性和混淆性,使得无法准确识别损伤位置。为此,提出公路车桥耦合振动下桥梁结构损伤位置识别方法。车辆荷载与桥梁结构之间的相互作用,获取由车辆重力产生的荷载构成的向量,建立桥梁结构的振动模态,实现对耦合振动分析,降低振动特征的模糊性和混淆性。引入海鸥优化算法对损伤预测过程中的主要参数展开寻优,采用扩展卡尔曼滤波算法实现对桥梁结构损伤位置的精准识别。仿真结果表明,所提方法能够准确描述桥梁结构的耦合振动行为,准确识别损伤位置,提高了损伤识别的精度。The dynamic load generated by the vehicle running on the bridge will have a coupling vibration effect with the bridge,resulting in the fuzziness and confusion of vibration characteristics,which makes it impossible to accurately identify the damage location.Therefore,a method for identifying the damage location of bridge structure under coupled vibration of highway and vehicle is proposed.The interaction between the vehicle load and the bridge structure can obtain the vector of the load generated by the vehicle gravity,establish the vibration mode of the bridge structure,realize the analysis of the coupled vibration,and reduce the fuzziness and confusion of the vibration characteristics.The Seagull optimization algorithm is introduced to optimize the main parameters in the process of damage prediction,and an extended Kalman filter algorithm is used to accurately identify the damage position of the bridge structure.The simulation results show that the proposed method can accurately describe the coupled vibration behavior of the bridge structure,accurately identify the damage location and improve the accuracy of damage identification.
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