A new method for inspection and detection of typical defects of protective facilities in existing railways and its application

Jian Li, Xu Gao, Huayong Lv, Hongze Guo, Zonghao Wang, Zhanbo Cheng
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Abstract

Due to the frequent occurrence of defects of slope protection facilities on existing lines causing the potential major geological hazards (e.g., landslides), it is necessary to promote the inspection and detection efficiency of various defects of slope protection facilities for carrying out early warning and evaluation, as well as, putting forward relevant control measures for slope disasters. Based on the case studies of hundreds of protective facilities on the existing railway line, the typical defect types, characteristics and specific causes of retaining wall, slope protection, anti-slide pile and anchorage engineering structure are firstly determined. Subsequently, a new comprehensive method combining unmanned air vehicle (UAV) and intelligent detection of portable radar (IDPR) are proposed. Among of them, UAV can effective and efficient identify the defect situations of slope protection facilities, and the water accumulation and cracks of retaining wall through performing a periodic inspection of the surrounding environment of protective facilities. In addition, IDPR can detect the filling situations behind the protective facilities to prevent the collapse danger. Through comparison with the drilling core results of tested areas, it is found that the detection results of the IDPR are more reliable and accurate, which is worthy of popularization and application in the field.
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检查和检测既有铁路防护设施典型缺陷的新方法及其应用
由于既有线边坡防护设施缺陷频发,造成重大地质灾害隐患(如滑坡),有必要提高边坡防护设施各类缺陷的检测和发现效率,以进行预警和评估,并提出相应的边坡灾害防治措施。基于对既有铁路线上数百个防护设施的案例研究,首先确定了挡土墙、护坡、抗滑桩和锚固工程结构的典型缺陷类型、特征和具体原因。随后,提出了无人机(UAV)与便携式雷达(IDPR)智能检测相结合的综合新方法。其中,无人机通过对防护设施周边环境的定期巡查,可以有效、高效地识别边坡防护设施的缺陷情况,以及挡土墙的积水和裂缝情况。此外,IDPR 还能检测防护设施背后的填充情况,防止坍塌危险。通过与测试区域的钻探岩心结果对比,发现 IDPR 的检测结果更加可靠和准确,值得在现场推广应用。
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