摘要
在地形复杂多变的高山峡谷地区进行工程建设时,快速准确地识别边坡危岩体具有十分重要的意义。通过冰冻试验法预设7组稳定岩体和8组危岩体模型试验,并应用激光多普勒测振仪获取其振动监测数据,采用支持向量机算法开展基于时频域动力学监测指标的危岩体快速识别试验研究。通过对室内试验中稳定岩体与危岩体的时频域动力学监测指标分析得出,相比较于单一动力学指标的危岩体识别方法,基于时频域动力指标的危岩体识别方法在对稳定岩体与危岩体识别的准确率均达到100%,通过引入多种动力学监测指标,可实现危岩体更为合理的有效判识。该研究为危岩体等不良地质体核查提供了新的遥感技术支持,在丰富天-空-地一体化的多源立体勘察技术体系的同时,也为川藏铁路等高风险地区更好地应对崩塌灾害提供参考。
When the engineering construction is carried out in the mountainous and gorge area,it is of great significance to identify unstable rock mass quickly and accurately.In the study,7 stable rock mass cases and 8 unstable rock mass cases were preset by the freezing test method,and the Laser Doppler Vibrometer is used to obtain the vibration monitoring data.Based on the support vector machine algorithm,the method of rapid identification for unstable rock mass by time domain and frequency domain dynamic index is presented.The experimental results show that the identification method based on absolute mean and mean square frequency has an accuracy rate of 100%,which is better than that based on single dynamic index.By introducing a variety of dynamic monitoring indexes,the reasonable and effective identification of unstable rock mass can be better realized.The study provides a new remote sensing technology support for the verification of unstable rock,thus can enrich the multi-source geological survey technical system integrated a full range of space-air-ground detection technologies,and provide a reference for better response to rock collapse disasters in high-risk areas such as Sichuan—Tibet Railway.
作者
霍磊晨
杜岩
谢谟文
张晓勇
贾北凝
丛晓明
HUO Leichen;DU Yan;XIE Mowen;ZHANG Xiaoyong;JIA Beining;CONG Xiaoming(Beijing Key Laboratory of Urban Underground Space Engineering,University of Science and Technology Beijing,Beijing 100083,China;Comprehensive Institute of Geotechnical Investigation and Surveying,Ministry of Construction,Beijing 100007,China)
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2021年第S02期3156-3162,共7页
Chinese Journal of Rock Mechanics and Engineering
基金
国家重点研发计划项目(2018YFE0101100)
国家自然科学基金资助项目(41702371,41572274)。
关键词
岩石力学
危岩体
遥感识别
动力学指标
地质灾害预防
rock mechanics
unstable rock
remote sensing identification
dynamic index
prevention of geological disasters