Unstable rock mass identification method based on time and frequency domain dynamic parameters

被引：0
|
作者：
Huo L. [1 ]
Du Y. [1 ]
Xie M. [1 ]
Zhang X. [1 ]
Jia B. [2 ]
Cong X. [2 ]
机构：
[1] Beijing Key Laboratory of Urban Underground Space Engineering, University of Science and Technology Beijing, Beijing
[2] Comprehensive Institute of Geotechnical Investigation and Surveying, Ministry of Construction, Beijing
来源：
Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering | 2021年 / 40卷
基金：
中国国家自然科学基金;
关键词：
Dynamic index; Prevention of geological disasters; Remote sensing identification; Rock mechanics; Unstable rock;
D O I：
10.13722/j.cnki.jrme.2021.0337
中图分类号：
学科分类号：
摘要：
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. © 2021, Science Press. All right reserved.
引用
收藏
页码：3156 / 3162
页数：6
相关论文
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