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Acquisition of acoustic emission precursor information for rock masses with a single joint based on clustering-convolutional neural network method

文献类型：期刊论文

作者Xie, Peiyao1,2; Chen, Weizhong2; Zhao, Wusheng2; Gao, Hou1,2
刊名JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
出版日期2024-12-01
卷号16期号:12页码:5061-5076
关键词Acoustic Emission (AE) Precursor information acquisition Precursory indicator Clustering-Convolutional Neural Network (CNN) method Rock mass failure Single joint
ISSN号1674-7755
DOI10.1016/j.jrmge.2024.01.016
英文摘要The method for precursor information acquisition based on acoustic emission (AE) data for jointed rock masses is of significant importance for the early warning of dynamic disasters in underground engineering. A clustering-convolutional neural network (CNN) method is proposed, which comprises a clustering component and a CNN component. A series of uniaxial compression tests were conducted on granite specimens containing a persistent sawtooth joint, with different strain rates (10-5-10-2 s-1) and joint inclination angles (0 degrees-50 degrees). The results demonstrate that traditional precursory indicators based on full waveforms are effective for obtaining precursor information of the intact rock failure. However, these indicators are not universally applicable to the failure of rock masses with a single joint. The clustering- CNN method has the potential to be applied to obtain precursor information for all three failure modes (Modes I, II and III). Following the waveform clustering analysis, the effective waveforms exhibit a low main frequency, as well as high energy, ringing count, and rise time. Furthermore, the clustering method and the precursory indicators influence the acquisition of final precursor information. The Birch hierarchical clustering method and the S value precursory indicator can help to obtain more accurate results. The findings of this study may contribute to the development of warning methods for underground engineering across faults. (c) 2024 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
资助项目National Natural Science Foundation of China[52079134] ; National Natural Science Foundation of China[51991393]
WOS研究方向Engineering
语种英语
WOS记录号WOS:001381283500001
出版者SCIENCE PRESS
源URL[http://119.78.100.198/handle/2S6PX9GI/43446]  
专题中科院武汉岩土力学所
通讯作者Zhao, Wusheng
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China
推荐引用方式
GB/T 7714		 Xie, Peiyao,Chen, Weizhong,Zhao, Wusheng,et al. Acquisition of acoustic emission precursor information for rock masses with a single joint based on clustering-convolutional neural network method[J]. JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING,2024,16(12):5061-5076.
APA Xie, Peiyao,Chen, Weizhong,Zhao, Wusheng,&Gao, Hou.(2024).Acquisition of acoustic emission precursor information for rock masses with a single joint based on clustering-convolutional neural network method.JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING,16(12),5061-5076.
MLA Xie, Peiyao,et al."Acquisition of acoustic emission precursor information for rock masses with a single joint based on clustering-convolutional neural network method".JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING 16.12(2024):5061-5076.

入库方式： OAI收割

来源：武汉岩土力学研究所

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