文章基本信息

标题：Rock burst hazard assessment of apatite mines on Kola Peninsula by means of local acoustic emission method
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作者：Alexander Rozanov ; Andrei Tereshkin
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2018
卷号：56
页码：1-7
DOI：10.1051/e3sconf/20185602019
出版社：EDP Sciences
摘要：Various acoustic emission (AE) parameters are used to characterize fracture process in rocks. The conventional statistical values are, for example, AE activity, b-factor, and distribution of energy. In order to map AE events the location analysis is used. There are also of interest in seismic analysis such kinematic parameters as corner frequency, seismic moment. To describe spatial pattern of hypocenter distribution a so called correlation integral is applied. In this work we apply spectral-correlation analysis to quantify each AE waveform with energy-correlation values. To study the behavior of spectral parameters during fracturing we carried out a series of AE measurements in the areas of extreme mining pressure in the PhosAgro apatite mines. For data acquisition purpose we use a device Prognoz-L which has been developed in the Mining Institute of Khabarovsk, Russia, for local stress monitoring.
其他摘要：Various acoustic emission (AE) parameters are used to characterize fracture process in rocks. The conventional statistical values are, for example, AE activity, b-factor, and distribution of energy. In order to map AE events the location analysis is used. There are also of interest in seismic analysis such kinematic parameters as corner frequency, seismic moment. To describe spatial pattern of hypocenter distribution a so called correlation integral is applied. In this work we apply spectral-correlation analysis to quantify each AE waveform with energy-correlation values. To study the behavior of spectral parameters during fracturing we carried out a series of AE measurements in the areas of extreme mining pressure in the PhosAgro apatite mines. For data acquisition purpose we use a device Prognoz-L which has been developed in the Mining Institute of Khabarovsk, Russia, for local stress monitoring.