基于灰箱模型的垂向车-桥系统响应极值分布研究

Extreme value distribution of vertical vehicle-bridge system response based on the grey-box model

针对垂向车-桥系统时域计算效率不高的问题,结合灰箱模型,提出了一种垂向车-桥系统动力响应计算的代理模型方法。通过对车桥系统进行分析,得到输入和输出样本进行灰箱模型参数训练,使车体加速度响应误差最小化,得到代理模型。通过蒙特卡罗模拟,验证了该方法的准确性和效率。结果表明,相比蒙特卡罗模拟方法,该方法计算效率明显提高,计算时间减少了约7倍,且计算误差小。

In order to solve the problem that the time domain calculation efficiency of vertical vehicle-bridge system is not high,a surrogate model method for calculating the dynamic response of vertical vehicle-bridge system which combined with the grey-box identification model was proposed.Through the analysis of the vehicle-bridge system,the input and output samples were obtained and the parameters of the grey-box model were trained to minimize the response error of the vehicle-body acceleration and get the surrogate model.Finally,the efficiency and reliability of this calculation framework was verified by the Monte Carlo method.The results show that compared with the Monte Carlo simulation method,the efficiency of this method is improved obviously,the calculation time is reduced by about 7 times,and the calculation error is small.