市政技术2024，Vol.42Issue(10)：37-44,51,9.DOI:10.19922/j.1009-7767.2024.10.037
基于多种物探方法的公路下伏采空区病害识别与分析
Disease Identification and Analysis of Goaf Area Under Highway by Various Geophysical Methods
摘要
Abstract
The Bama-Pingxiang Expressway in Guangxi passes through numerous mining areas,and the goaf formed after coal mining cause cracks or collapses in the road.Therefore,accurate detection of the location of the goaf is a prerequisite for ensuring construction safety and driving safety.A comprehensive detection of a suspected goaf was carried out by geological radar method,high-density electrical method and seismic wave scattering method,and geophysical anomaly points were verified by drilling method.The comprehensiveness and reliability of the three geo-physical methods were compared.The research results found that 4 geophysical anomalies were discovered in the survey area,but only 3 defects after verification by drilling method.Among them,no defects were found in 1 bore-hole,which may be caused by errors in geophysical results or inaccuracies caused by"one hole observation";A single geophysical method can cause detection defects.Therefore,detection and analysis should be comprehensively made by geological radar method,high-density electrical method,and seismic wave scattering method.The accuracy of the detection results should be verified by drilling method;According to the drilling results,under the specific in-strument parameters selected in this study,the detection accuracy of high-density electrical method and seismic wave scattering method is higher than that of geological radar method,which can provide guidance for subsequent geophysical research of similar projects.关键词
采空区/高密度电法/地质雷达法/地震波散射法Key words
goaf/high density electrical method/geological radar method/seismic wave scattering method分类
交通运输引用本文复制引用
方志江,龚文剑,张仰鹏,焦晓东,颜志铭..基于多种物探方法的公路下伏采空区病害识别与分析[J].市政技术,2024,42(10):37-44,51,9.基金项目
广西重点研发计划项目(桂科AB22080012,桂科AB23026144) （桂科AB22080012,桂科AB23026144）
