为深入研究温湿度对高速列车车轮磨耗的影响，在已有的相关试验数据基础上，采用数据统计方法和Zobory、Archard磨耗模型，推导温湿度相关的函数型摩擦系数模型和考虑温湿度影响的磨耗预测模型；基于温湿度相关的函数型摩擦模型定义高速轮轨滚动接触关系，并采用mixed Lagrangian/Eulerian方法建立高速轮轨稳态滚动接触有限元模型，完成不同温湿度条件下高速轮轨接触特性分析，并利用考虑温湿度影响的磨耗预测模型，分析不同温湿度条件下车轮接触接触斑内磨耗特性；最后将现场监测数据与模型预测数据进行对比，分析考虑温湿度影响的磨耗预测理论可行性。研究结果表明：在不考虑横移及横向力的作用下，随着温湿度的上升，车轮接触斑内纵向蠕滑力/率、横向蠕滑力/率、磨耗深度均呈现下降的趋势；对比现场监测数据与模型预测数据可知，现场监测数据与模型预测数据之间相关性较好，且呈现出较为一致的变化规律，建立的考虑温湿度影响的磨耗预测理论模型可行性较强。
To further research on the influence of temperature and humidity on high-speed train wheel wear, on the basis of the existing test data, and statistical methods and Zobory, Archard wear model are used, temperature and humidity related functional model of friction coefficient and the considering the influences of temperature and humidity wear prediction model is deduced. The high-speed wheel/rail tangential contact relationship is defined on the basis of temperature and humidity related functional model of friction coefficient, and the mixed Eulerian/Lagrangian method is established by the steady-state rolling wheel/rail contact finite element model, the high-speed wheel/rail contact characteristic is analyzed under the conditions of different temperature and humidity, then the wear prediction model is used to analyze the condition of wheel contact spot wear characteristics under the different temperature and humidity condition. The last, the field monitoring data and the model prediction data are compared, and the considering the influence of temperature and humidity wear predictionmodel feasibility is analyzed. The results show:Without considering the effect of transverse and transverse force, with the rise of temperature and humidity, the wheel longitudinal creep force/rate, lateral creep force/rate, wear depth all showed a trend of decline; Compared with the field monitoring data and the model prediction data, and the correlation is good. At the same time, presents a more consistent change rule, so the considering the influences of temperature and humidity wear prediction model feasibility is stronger.
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