摘要
城市地铁轨道系统在周边复杂环境和自身材料劣化等因素影响下性能逐步退化,将危害城市地铁轨道系统运营安全。本文提出一种基于车辆加速度响应灵敏度分析的车辆和轨道参数同步识别方法。首先,将车辆系统简化为三参数单自由度模型,地铁轨道结构用离散点支撑的Euler-Bernoulli梁模拟,建立地铁车辆轨道交互系统;然后,推导了车辆动力响应关于系统参数的灵敏度矩阵;最后,通过基于灵敏度分析的交叉迭代优化算法,同步识别车辆参数和轨道参数。该方法在识别轨道参数时考虑车辆参数变化的影响,能高精度识别系统中参数的变化用于损伤诊断。通过一个车轨交互系统数值算例,与传统参数识别方法相比,交叉迭代算法有效提高了车轨交互系统多参数识别的精度和效率。
The degradation of the materials and the complex environment will cause the gradual deterioration of the urban subway system.It will endanger the safety of the urban traffic.An identification method based on the sensitivity analysis of the vehicle dynamic responses is proposed to obtain vehicle and track parameters at the same time.First,the vibration function of the vehicle-track coupling system is established based on a discrete point supported Euler-Bernoulli beam track model and a three-parameter vehicle model.Second,the dynamic response sensitivities with respect to the track parameters and vehicle parameters are derived.Last,the vehicle and track parameters are identified based on a cross iteration optimization algorithm.The proposed method can identify the track parameters more accurately for the variation of vehicle parameters is considered.A numerical vehicle-track coupling system is employed to validate the proposed method.The accuracy and efficiency of the proposed method is validated by comparing with the traditional identification method.
作者
叶玲
朱宏平
翁顺
YE Ling;ZHU Hong-ping;WENG Shun(School of Civil Engineering&Mechanics,Huazhong University of Science and Technology,Wuhan 430074,China)
出处
《土木工程与管理学报》
北大核心
2019年第4期154-160,共7页
Journal of Civil Engineering and Management
基金
国家自然科学基金(5177081226)
关键词
灵敏度分析
车辆–轨道交互系统
交叉迭代优化算法
参数识别
sensitivity analysis
vehicle-track coupling system
cross iteration optimization algorithm
parameter identification
