Department of Transportation System Engineering, KRRI School, University of Science & Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, Korea.
Korea Railroad Research Institute, 176, Cheoldo-bangmulgwan-ro, Uiwang 16105, Korea.
Sensors (Basel). 2021 Oct 16;21(20):6875. doi: 10.3390/s21206875.
The condition of the ballast is a critical factor affecting the riding quality and the performance of a track. Fouled ballast can accelerate track irregularities, which results in frequent ballast maintenance requirements. Severe fouling of the ballast can lead to track instability, an uncomfortable ride and, in the worst case, a derailment. In this regard, maintenance engineers perform routine track inspections to assess current and future ballast conditions. GPR has been used to assess the thickness and fouling levels of ballast. However, there are no potent procedures or specifications with which to determine the level of fouling. This research aims to develop a GPR analysis method capable of evaluating ballast fouling levels. Four ballast boxes were constructed with various levels of fouling. GPR testing was conducted using a GSSI (Geophysical Survey Systems, Inc.) device (400, 900, 1600 MHz), and a KRRI (Korea Railroad Research Institute) GPR device (500 MHz), which was developed for ballast tracks. The dielectric permittivity, scattering of the depth (thickness) values, signal strength at the ballast boundary, and area of the frequency spectrum were compared against the fouling level. The results show that as the fouling level increases, the former two variables increase while the latter two decrease. On the basis of these observations, a new integrated parameter, called a ballast condition scoring index (BCSI), is suggested. The BCSI was verified using field data. The results show that the BCSI has a strong correlation with the fouling level of the ballast and can be used as a fouling-level-indicating parameter.
道床状态是影响轨道乘坐质量和性能的一个关键因素。污染道床会加速轨道不平整,导致频繁的道床维护需求。道床严重污染会导致轨道不稳定、乘坐不舒适,在最坏的情况下还会导致脱轨。在这方面,维护工程师会进行例行轨道检查,以评估当前和未来的道床状况。地质雷达(GPR)已被用于评估道床的厚度和污染程度。然而,目前还没有有效的程序或规范来确定污染程度。本研究旨在开发一种能够评估道床污染程度的 GPR 分析方法。构建了四个具有不同污染程度的道床箱。使用 GSSI(地球物理调查系统公司)设备(400、900、1600 MHz)和 KRRI(韩国铁道研究院)开发的用于道床的 GPR 设备(500 MHz)进行了 GPR 测试。比较了介电常数、深度(厚度)值的散射、道床边界处的信号强度和频谱面积与污染程度的关系。结果表明,随着污染程度的增加,前两个变量增加,后两个变量减小。在此基础上,提出了一个新的综合参数,称为道床状况评分指数(BCSI)。使用现场数据验证了 BCSI。结果表明,BCSI 与道床的污染程度有很强的相关性,可以作为污染程度指示参数。