An effective method for laboratory acoustic emission detection and location using template matching

作     者：Xinglin Lei Tomohiro Ohuchi Manami Kitamura Xiaying Li Qi Li Xinglin Lei;Tomohiro Ohuchi;Manami Kitamura;Xiaying Li;Qi Li

作者机构：National Institute of Advanced Industrial Science and Technology(AIST)Tsukuba305-8567Japan Geodynamics Research CenterEhime UniversityMatsuyama790-8577Japan State Key Laboratory of Geomechanics and Geotechnical EngineeringInstitute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China University of Chinese Academy of SciencesBeijing100049China 

出 版 物：《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报（英文版）)

年 卷 期：2022年第14卷第5期

页      面：1642-1651页

核心收录：

学科分类：081801[工学-矿产普查与勘探] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：funding support from Grant-in-Aid for Scientific Research(Grant No.19H00722)by Japan Society for the Promotion of Science(JSPS)。 

主　　题：Acoustic emission Template matching and location Waveform cross-correlation Grid search 

摘      要：In this paper, a template matching and location method, which has been rapidly adopted in microseismic research in recent years, is applied to laboratory acoustic emission(AE) monitoring. First, we used traditional methods to detect P-wave first motions and locate AE hypocenters in three dimensions. In addition, we selected events located with sufficient accuracy(normally corresponding AE events of relatively larger energy, showing clear P-wave first motion and a higher signal-to-noise ratio in most channels) as template events. Then, the template events were used to scan and match other poorly located events in triggered event records or weak events in continuous records. Through crosscorrelation of the multi-channel waveforms between the template and the event to be detected, the weak signal was detected and located using a grid-searching algorithm(with the grid centered at the template hypocenter). In order to examine the performance of the approach, we calibrated the proposed method using experimental data of different rocks and different types of experiments. The results show that the proposed method can significantly improve the detection capability and location accuracy, and can be applied to various laboratory and in situ experiments, which use multi-channel AE monitoring with waveforms recorded in either triggering or continuous mode.