基于子结构的轨道系统基础结构参数识别方法

Parameter Identification of Rail Transit Infrastructure Based on Substructure Method

轨道系统基础结构所处环境敏感复杂,运行车辆密度高,导致其性能不断劣化,给轨道交通系统带来安全隐患,实时识别并监控基础结构参数是保障轨道交通正常运营的有效手段。针对轨道系统基础结构参数识别效率低的难题,提出了一种基于子结构的轨道系统基础结构参数识别方法。首先,将整体结构划分为多个子结构,建立目标子结构界面力的切比雪夫多项式参数化表达;然后,推导动力响应关于结构参数和界面力参数的灵敏度;最后,通过基于灵敏度分析的交叉迭代优化算法,同步识别子结构参数和荷载参数。由于子结构方法减少了计算过程中各矩阵的维度和待识别参数个数,极大地提高了参数识别的效率。

The sensitive and complex environment of rail transit infrastructure with high frequency of running trains causes the continuous performance deterioration and brings safety risks to the rail transit system.Real time identification and monitoring of the infrastructure parameters is an effective means to ensure the normal operation of rail transit.Aiming at the problem of low efficiency of rail transit infrastructure parameter identification,this paper proposed a method of parameter identification based on substructure method.Firstly,the whole structure was divided into several substructures to establish the Chebyshev polynomial parametric expression of the interface force of the target substructure.Secondly,the sensitivity of the dynamic response to the structural parameters and the interface force parameters was deduced.Finally,the substructure parameters and the load parameters were identified synchronously by the cross iteration optimization algorithm based on the sensitivity analysis.The substructure method,which reduces the dimensions of each matrix and the number of parameters in the calculation process,greatly improves the efficiency of parameter identification.