中国铁道科学2018，Vol.39Issue(2)：18-27,10.DOI:10.3969/j.issn.1001-4632.2018.02.03
基于导波速度的无缝钢轨应力检测方法
Detection Method for Stress in Continuously Welded Rail Based on Guided Wave Velocity
摘要
Abstract
In order to improve the detection precision of the stress in continuously welded rail,the modal propagation laws of guided waves in rail under stress were analyzed based on semi-analytical finite element method,and the optimal methods were proposed for selecting,exciting and receiving guided wave modes.The group velocity and phase velocity of target modes were calculated by using Hilbert transform and 2D Fourier transform respectively,and a double weighted correction method was proposed to reduce the impact of the number of array transducer units on the accuracy of phase velocity calculation.On this basis,the relationships between the stress and velocities of guided wave modes in different frequencies were established.The accuracy of stress detection was then analyzed based on group velocity or phase velocity.Results show that,with the increase of guided wave frequency,the calculation error of group velocity increases gradually,while that of phase velocity is less affected.With the low frequency of 200 Hz as guided wave excitation,group velocity should be used as the detection parameter for rail stress,and the stress estimation accuracy is about 0.219 MPa.With the intermediate frequency of 2 kHz or high frequency of 20 kHz as guided wave excitation,phase velocity should be used as the detection parameter and the stress estimation accuracy is about 0.638 and 0.012 MPa respectively.Therefore,in practical applications,it is necessary to choose an appropriate type of velocity as the detection parameter to estimate rail stress according to guided wave frequency.关键词
轨道结构/无缝钢轨/应力检测/导波/相速度/群速度Key words
Track structure/Continuously welded rail/Stress detection/Guided wave/Phase velocity/Group velocity分类
交通工程引用本文复制引用
王嵘,余祖俊,朱力强,许西宁..基于导波速度的无缝钢轨应力检测方法[J].中国铁道科学,2018,39(2):18-27,10.基金项目
国家重点研发计划项目(2016YFB1200401),中央高校基本科研业务费专项资金项目(M14JB00090) （2016YFB1200401）
