Unstable rock mass identification method based on time and frequency domain dynamic parameters#br#
HUO Leichen1，DU Yan1，XIE Mowen1，ZHANG Xiaoyong1，JIA Beining2，CONG Xiaoming2
(1. Beijing Key Laboratory of Urban Underground Space Engineering，University of Science and Technology Beijing，Beijing 100083，China；2. Comprehensive Institute of Geotechnical Investigation and Surveying，Ministry of Construction，
Beijing 100007，China)
Abstract：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.
霍磊晨1，杜 岩1，谢谟文1，张晓勇1，贾北凝2，丛晓明2. 基于时频域动力学参量的危岩体识别方法[J]. 岩石力学与工程学报, 2021, 40(S2): 3156-3162.
HUO Leichen1，DU Yan1，XIE Mowen1，ZHANG Xiaoyong1，JIA Beining2，CONG Xiaoming2. Unstable rock mass identification method based on time and frequency domain dynamic parameters#br#. , 2021, 40(S2): 3156-3162.
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2021, Vol. 40 
