摘要
以上海轨道交通实测的无砟轨道不平顺数据作为样本,利用经典周期图法计算其轨道不平顺谱,进而得到原始轨道平均谱。基于轨道不平顺七参数拟合谱模型,利用非线性最小二乘法对原始轨道平均谱进行拟合,得出轨道谱的拟合参数。最后,将计算所得的无砟轨道谱拟合曲线与美国6级谱、德国高低干扰谱和中国七参数谱对比分析,结果表明:在中长波范围内,轨距、水平和高低不平顺状态较为优良,低于美国6级谱、德国高低干扰谱和中国干线轨道谱,而轨向不平顺谱则与美国6级谱水平相当;在短波范围内则无砟轨道谱谱值较大。
Taking the measured unballasted track irregularity data in Shanghai Metro as samples,the track irregularity spectrum is calculated by applying the periodogram arithmetic and the average spectrum is obtained according to the basic overall mean value.Based on tack irregularity spectrum model from China Academy of Railway Sciences,the optimization parameters of the fitting mean spectrum is calculated by using the nonlinear least square arithmetic.Finally,this paper contrasts the fitting mean spectrum with US class 6 railways,German railway spectra of high irregularity and low irregularity,and China main railway spectra.The results show that the conditions of the gauge,level and profile irregularity are good and the alignment irregularity spectrum is equivalent to US class 6 railways in mid-and long wavelength range,While in the short wavelength range,the value of measured track irregularity spectrum generally turns out to be larger.
出处
《华东交通大学学报》
2013年第1期46-51,共6页
Journal of East China Jiaotong University
基金
国家自然科学基金项目(50878158)
关键词
轨道交通
轨道不平顺
功率谱拟合
非线性最小二乘法
urban rail transit
track irregularity
spectrum fitting
nonlinear least square arithmetic
