Key Laboratory of High-Speed Railway Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, China.
School of Civil Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Sci Rep. 2019 Apr 29;9(1):6606. doi: 10.1038/s41598-019-43146-1.
Rockfall disasters occur frequently in mountainous areas of western China, and the rockfall disasters along a railway line will seriously affect the safety and normal operation of railways, causing great economic and property losses. Existing rockfall monitoring and early warning methods still have shortcomings, such as accurate warning of single-point disasters and vulnerability to the natural environment. In this study, a rockfall test of a flexible safety protection net along the slope of a railway and a rockfall test of the railway track were carried out, and the vibration signals of the falling rock hitting the different sites of the protective net and hitting different positions of the rails were obtained. Using the signal analysis methods such as Fast Fourier Transformation and Short-Time Fourier Transform, the basic characteristics of the rockfall vibration signal and the vibration signal when the train passes and the propagation law of the rockfall vibration signal are obtained. Finally, a set of monitoring and early warning systems for rockfall disasters along the railway based on the analysis of vibration signal characteristics is established. The monitoring and early warning method has the advantages of all-weather, high-time, semi-automatic and high efficiency performance.
在中国西部山区，崩塌灾害频繁发生，铁路沿线的崩塌灾害将严重影响铁路的安全和正常运行，造成巨大的经济和财产损失。现有的崩塌监测预警方法仍存在单点灾害预警准确、易受自然环境影响等缺点。在本研究中，对铁路边坡柔性安全防护网进行了崩塌试验和铁路轨道的崩塌试验，获得了落石撞击防护网不同部位和撞击轨道不同位置时的振动信号。利用快速傅里叶变换和短时傅里叶变换等信号分析方法，得到了落石振动信号的基本特征以及列车通过时和传播规律的振动信号。最后，建立了一套基于振动信号特征分析的铁路沿线崩塌灾害监测预警系统。该监测预警方法具有全天候、高时效、半自动和高效性能的优点。
