| 车辆/轨道耦合作用下高速列车车轮振动影响灵敏度分析 |
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| 引用本文： | 肖乾,程玉琦,罗佳文,周生通,周前哲,曹涛影.车辆/轨道耦合作用下高速列车车轮振动影响灵敏度分析[J].交通运输工程学报,2021,21(6):160-169. |
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| 作者姓名： | 肖乾 程玉琦 罗佳文 周生通 周前哲 曹涛影 |
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| 作者单位： | 华东交通大学载运工具与装备教育部重点实验室,江西南昌 330013 |
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| 基金项目： | 国家自然科学基金项目51975210大功率交流传动电力机车系统集成国家重点实验室开放课题13221430000480 |
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| 摘 要： | 考虑车辆一系、二系悬挂参数和轨道参数的随机性，在多体动力学软件UM当中建立了CRH2动车组拖车的随机性仿真模型；采用最优拉丁超立方试验设计方法抽取车辆参数和轨道参数的随机样本，利用多目标优化软件iSight调用随机样本，联合UM完成了随机样本仿真分析；在有限试验设计样本和仿真数据的限制下，以最佳近似精度为目标，结合最小角回归、低阶交互截断和留一法交叉验证等实现了多项式混沌展开，构建多项式混沌展开代理模型；采用Sobol法进行全局灵敏度分析，研究了直线、曲线2种工况下车辆参数和轨道参数随机耦合作用对于车轮振动特性的影响，找出了主要影响因子，并考虑了多参数之间的交互效应。研究结果表明:多项式混沌展开法能够基于已有的样本比较好地拟合出代理模型，计算出Sobol灵敏度系数，平均误差低于3%，从而可以高效、定量地分析各参数耦合作用对车轮振动的影响；转臂节点横向刚度、一系弹簧垂向刚度、一系弹簧横向刚度和二系横向减振器阻尼是对车轮振动响应方差具有较大贡献的车辆参数，轨道横向、垂向刚度是对车轮振动响应方差具有较大贡献的轨道参数，各参数之间存在明显交互效应。
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| 关 键 词： | 车轮振动 多项式混沌展开代理模型 Sobol法 全局灵敏度分析 交互效应 |
| 收稿时间： | 2021-07-21 |
Sensitivity analysis of high-speed train wheel vibration influenced by vehicle-track coupling |
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| XIAO Qian,CHENG Yu-qi,LUO Jia-wen,ZHOU Sheng-tong,ZHOU Qian-zhe,CAO Tao-ying.Sensitivity analysis of high-speed train wheel vibration influenced by vehicle-track coupling[J].Journal of Traffic and Transportation Engineering,2021,21(6):160-169. |
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| Authors: | XIAO Qian CHENG Yu-qi LUO Jia-wen ZHOU Sheng-tong ZHOU Qian-zhe CAO Tao-ying |
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| Affiliation: | Key Laboratory of Conveyance and Equipment of Ministry of Education, East China Jiaotong University, Nanchang 330013, Jiangxi, China |
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| Abstract: | A random simulation model for one trailer of the CRH2 EMU was established based on the multi-body dynamics software UM under considering the randomness of the primary and secondary suspension parameters of the vehicle and track parameters. The optimal Latin hypercube experimental design method was used to extract the random samples of the parameters, the multi-objective optimization software iSight was used to select the random samples, and the UM was used to analyze the samples. Under the limitation of limited experimental design samples and simulation data, a polynomial chaos expansion surrogate model was built by combining the minimum angle regression, low-order interactive truncation and leave-one-out cross-validation to achieve the polynomial chaos expansion in order to reach the best approximate accuracy. The Sobol method was used to analyze the global sensitivity of polynomial chaos expansion surrogate model to study the influence of the random coupling action of vehicle and track parameters on the wheel vibration characteristics under the straight line and curve working conditions. The key factors were studied and the coupling action of multi-parameters was considered. The results show that the polynomial chaos expansion method can fit an accurate surrogate model based on the existing samples and calculate the Sobol sensitivity coefficient with an average error (less than 3%) so as to analyze the effect of the coupling of various parameterss on the wheel vibration efficiently and quantitatively. The vehicle parameters, such as the lateral stiffness of the boom node, the vertical stiffness of the primary spring, the lateral stiffness of the primary spring and the damping of the secondary transverse shock absorber, have an obvious contribution to the variance of the wheel vibration response. The track parameters, such as the lateral and vertical stiffnesses of the track, have a large contribution to the variance of the wheel vibration response. There are obvious interaction effects between the various parameters. 2 tabs, 16 figs, 31 refs. |
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