Detection and evaluation of AE waves due to rock deformation |
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| Affiliation: | 1. Research Institute of Technology, Tobishima Corporation, 5472 Kimagase, Sekiyado, Higashi-Katsushika, Chiba 270-0222, Japan;2. Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami, Kumamoto 860-8555, Japan;3. Civil Engineering Research Institute, Hokkaido Development Bureau, 1-3 Hiragishi, Toyohira-ku, Sapporo 062-8602, Japan;1. Composite Materials Applications Research Center, Korea Institute of Science and Technology (KIST), 92 Chudong-ro, Bongdong-eup, Wanju-gun, Jeonbuk 55324, Republic of Korea;2. Department of Material Science and Engineering and Research Institute of Advanced Materials (RIAM),Seoul National University, Seoul 151-742, Republic of Korea;3. Advanced Textile R&D Department, Korea Institute of Industrial Technology, 143 Hanggaulro, Sangnokgu, Ansan-si, Gyeonggi- do 15588, Republic of Korea;1. Snow and Avalanche Study Establishment (SASE-RDC), DRDO, Chandigarh 160036, India;2. Department of Physics, Panjab University, Chandigarh 160014, India;3. Department of Physics, Post Graduate Govt. College, Chandigarh 160011, India;1. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, PR China;2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, PR China |
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| Abstract: | In Japan, rock failure is one of the most frequent disasters as well as earthquakes. Because rock materials have brittle natures, deformation due to micro to macro fracture is normally of transient phenomenon. Acoustic emission (AE), detected as a premonitory phenomenon could be useful for prediction of eventual rock failure. In the paper, therefore, a prospective method to install AE sensors into the rock slope (WEAD) is developed. A series of studies on the WEAD are conducted to evaluate AE signals in the laboratory. Based on the experimental results, the criteria for classifying fracture states are proposed. Then, applying the criteria to the field data, fracture states estimated are compared with internal slope behavior evaluated from the displacement, borehole-strain, temperature and so forth. Thus, the applicability of the WEAD to evaluate rock stability is clearly demonstrated. |
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