高速铁路道岔动力学试验数据处理及分析方法

Data Processing and Analysis Method for Dynamic Test of High Speed Railway Turnout

对高速道岔动力学试验数据处理方法进行了研究,通过影响因素、因素水平、分析工况、数据样本分层递推的方法提出了较为科学规范的试验数据样本建立方法。针对各项动力学指标,通过开展时程曲线、统计特征值、概率分布曲线、功率谱密度曲线及1/3倍频程曲线多维度分析,实现对测试数据的深入挖掘。以轮轨垂向力和钢轨振动加速度指标为例,对具体的数据分析过程及方法进行介绍,分别给出了分析样图。为高速道岔动力学试验数据处理提供了一种较好的方法和模板,可对数据样本选取进行规范,并有助于对高速道岔动力特性和关键因素影响规律进行更充分的揭示。

This paper studied the data processing method of high speed turnout dynamic test,and put forward a more scientific and standardized method of establishing test data samples through the methods of influencing factors,factor levels,analysis conditions and hierarchical recursion of data samples.For each dynamic index,the multi-dimensional analysis of time history curve,statistical eigenvalue,probability distribution curve,power spectral density curve and 1/3 octave curve was carried out to realize the in-depth mining of test data.Taking the wheel rail vertical force and rail vibration acceleration as examples,the specific data analysis process and method was introduced,and the analysis samples were given respectively.It provides a better method and template for the data processing of high speed turnout dynamic test,which can standardize the selection of data samples,and is helpful to reveal the dynamic characteristics of high speed turnout and the influence law of key factors fully.