摘要
高速铁路动检数据对轨道养护维修具有重要意义,其中轴箱加速度和轮轨力是两种能够反映轨道短波不平顺信息且相互关联的高频采样数据。然而,这两种数据之间存在里程误差,以至于在评价轨道平顺性时无法建立参考基准。现有的动检数据里程修正方法大多需要结合线路台账信息,主要针对轨道几何不平顺数据的里程对齐,鲜有适用于无线路超高信息且高频采样下的轴箱加速度和轮轨力里程对齐方法。提出一种二阶段窗长收敛的里程误差修正模型,结合线性插值方法调整全局波形。根据某高速铁路实测轴箱加速度、轮轨力数据修正结果表明:该线路区间的里程误差在第一阶段修正后从1 km左右减小至42 m以内,经第二阶段精确修正后误差在99.7%的置信度下可控制在1.55 m以内。数据能量趋势结果表明,修正后轴箱加速度、轮轨力数据趋势线性相关性在全区段显著提升。
The dynamic inspection data of high-speed railway is of great significance to track maintenance.Axle box acceleration(ABA)and wheel-rail force(WRF)are two kinds of interrelated high-frequency data that can reflect the short-wave irregularity information of track.However,the mileage error between these two types of data makes it difficult to establish a reference datum for evaluating track regularity.Most of the existing mileage synchronization methods for dynamic inspection data require railway line information,mainly focusing on mileage synchronization of track geometric irregularity data.There are few mileage alignment methods for ABA and WRF under high frequency sampling without superelevation information.Therefore,a two-stage mileage synchronization model based on window length convergence was proposed,combined with linear interpolation method to adjust the global waveform.According to the synchronization results from real-world data of ABA and WRF of a high-speed railway,at the confidence level of 99.7%,the mileage error of any section between these two data is reduced from about 1 km to less than 42 m after the first stage,and less than 1.55 m after the second stage.The results of data energy trend show that the correlation of ABA and WRF data is significantly improved throughout the whole section.
作者
李王逸嘉
李晨钟
何庆
王平
杨飞
吴维军
LI Wangyijia;LI Chenzhong;HE Qing;WANG Ping;YANG Fei;WU Weijun(School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China;Key Laboratory of High Speed Railway Engineering,Southwest Jiaotong University,Chengdu 610031,China;Infrastructure Inspection Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;School of Mechatronics Engineering,Nanchang University,Nanchang 330031,China)
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2024年第3期60-70,共11页
Journal of the China Railway Society
基金
国家重点研发计划(2022YFB2602905)
四川省科技计划(2023NSFSC1975)
国家自然科学基金(U1934214)。
关键词
高速铁路
高频动态响应数据
里程对齐
high-speed railway
high frequency dynamic response data
mileage synchronization
