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为了确定桥梁交通振动试验中行走车辆的物理参数,提出基于遗传算法的参数识别方法.利用小波变换方法由车辆自由衰减振动响应获得车辆的模态参数,进一步应用遗传算法及复数特征值计算由模态参数反算车辆的转动惯量、刚度以及阻尼等物理参数.通过3组模拟数据的计算分析,验证了遗传算法用于车辆参数识别的有效性.以实际车辆的振动试验结果为例,检验了遗传算法在车辆参数识别中的可行性.算例及应用实例表明:应用遗传算法能精确识别出车辆的物理参数.
In order to determine the physical parameters of walking vehicles in the traffic vibration test of bridges, a genetic algorithm based parameter identification method is proposed.The vehicle modal parameters are obtained from the vehicle’s free-decaying vibration response by using wavelet transform, and the genetic algorithm and complex eigenvalue The parameters of inertia, stiffness and damping of the vehicle are back calculated with the parameters of state.According to the calculation and analysis of the three sets of simulation data, the effectiveness of genetic algorithm for vehicle parameter identification is verified. Taking the actual vehicle vibration test as an example, The feasibility of genetic algorithm in vehicle parameter identification.Examples and application examples show that the application of genetic algorithm can accurately identify the vehicle’s physical parameters.