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Bulletin of Engineering Geology and the Environment

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01-06-2022 | Original Paper

Interrelation analysis method of acoustic emission for failure prediction of brittle failure based on vibration mechanics

Authors: Jianchao Wang, Guoqing Chen, Yafeng Chen, Mehdi Serati

Published in: Bulletin of Engineering Geology and the Environment | Issue 6/2022

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Abstract

Brittle failure of rock masses poses a great threat to safety and property in underground engineering and slope engineering. It is necessary to develop effective methods to evaluate the damage degree of rock masses and make predictions of sudden failure. In this paper, a new method is proposed to extract damage information about rocks from acoustic emission (AE) data, and three indicators are obtained: the average local maxima of the frequency response along the propagation path (ALM), the average correlation value (ACV), and the standard deviation of the main frequencies of different signals (SD). Lead break tests and uniaxial compression tests are conducted to verify the applicability and effectiveness of the indicators. The results show that the frequency of the elastic wave will change after the elastic wave propagates along a path. When final failure state is approached, the ACV often decreases, while the ALM and SD increase. The p value based on a comprehensive analysis of the three indicators is convenient for estimating the damage degree, and it performs better than the traditional b value in predicting final failure when experimental conditions are suitable. The method proposed in this paper provides a new way to analyze AE data by focusing on the differences in waves from different sensors instead of the rupture sources. The indicators can provide precursor information for the failure and damage degree of rock masses.

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Aggelis DG (2011) Classification of cracking mode in concrete by acoustic emission parameters. Mech Res Commun 38:153–157. https://doi.org/10.1016/J.MECHRESCOM.2011.03.007CrossRef

Chen G, Sun X, Wang J, Wang D, Zhu Z (2020) Detection of cracking behaviors in granite with open precut cracks by acoustic emission frequency spectrum analysis. Arab J Geosci. https://doi.org/10.1007/s12517-020-5253-8CrossRef

Chen Y, Huang TH, Liu ER (2009) Rock physics. University of Science and Technology of China Press: 68–69

Cheon DS, Jung YB, Park ES et al (2011) Evaluation of damage level for rock slopes using acoustic emission technique with waveguides. Eng Geol 121:75–88. https://doi.org/10.1016/j.enggeo.2011.04.015CrossRef

Cuadra J, Vanniamparambil PA, Servansky D et al (2015) Acoustic emission source modeling using a data-driven approach. J Sound Vib 341:222–236. https://doi.org/10.1016/J.JSV.2014.12.021CrossRef

Dong L, Chen Y, Sun D et al (2021) Implications for rock instability precursors and principal stress direction from rock acoustic experiments. Int J Rock Mech Min Sci 31:789–798. https://doi.org/10.1016/j.ijmst.2021.06.006CrossRef

Fu ZF, Hua HX (2000) Theory and application of modal analysis. Shanghai Jiaotong University Press, Shanghai, pp 57–75

Grosse CU, Finck F (2006) Quantitative evaluation of fracture processes in concrete using signal-based acoustic emission techniques. Cem Concr Compos 28:330–336. https://doi.org/10.1016/j.cemconcomp.2006.02.006CrossRef

Guo TY, Wong LNY (2020) Microcracking behavior of three granites under mode I loading: insights from acoustic emission. Eng Geol. https://doi.org/10.1016/j.enggeo.2020.105823CrossRef

Guo TY, Wong LNY, Wu Z (2021) Microcracking behavior transition in thermally treated granite under mode I loading. Eng Geol. https://doi.org/10.1016/j.enggeo.2021.105992CrossRef

Huang Z, Gu Q, Wu Y et al (2021) Effects of confining pressure on acoustic emission and failure characteristics of sandstone. Int J Rock Mech Min Sci 31:963–974. https://doi.org/10.1016/j.ijmst.2021.08.003CrossRef

Kim JS, Lee KS, Cho WJ et al (2015) A comparative evaluation of stress–strain and acoustic emission methods for quantitative damage assessments of brittle rock. Rock Mech Rock Eng 48:495–508. https://doi.org/10.1007/s00603-014-0590-0CrossRef

Koerner RM, McCabe WM, Lord AE (1981) Overview of acoustic emission monitoring of rock structures. Rock Mech Felsmechanik Mec Des Roches 14:27–35. https://doi.org/10.1007/BF01239775CrossRef

Li LR, Deng JH, Zheng L, Liu JF (2017) Dominant frequency characteristics of acoustic emissions in white marble during direct tensile tests. Rock Mech Rock Eng 50:1337–1346. https://doi.org/10.1007/s00603-016-1162-2CrossRef

Liu YZ, Chen LQ, Chen WL (2020) Mechanics of vibrations. Higher Education Press, Beijing

Main IG (1992) Damage mechanics with long-range interactions: correlation between the seismic b-value and the fractal two-point correlation dimension. Geophys J Int. https://doi.org/10.1111/j.1365-246X.1992.tb02110.xCrossRef

Martin CD, Chandler NA (1994) The progressive fracture of Lac du Bonnet granite. Int J Rock Mech Min Sci 31:643–659. https://doi.org/10.1016/0148-9062(94)90005-1CrossRef

Moradian Z, Einstein HH, Ballivy G (2016) Detection of cracking levels in brittle rocks by parametric analysis of the acoustic emission signals. Rock Mech Rock Eng 49:785–800. https://doi.org/10.1007/S00603-015-0775-1CrossRef

Ni QQ, Kurashiki K, Iwamoto M (2001) AE technique for identification of micro failure modes in CFRP composites. Mater Sci Res Int 7:67–71

Niu W, Feng X-T, Xiao Y et al (2020) Identification of potential high-stress hazards in deep-buried hard rock tunnel based on microseismic information: a case study. Bull Eng Geol Environ. https://doi.org/10.1007/s10064-020-01973-xCrossRef

Ohno K, Ohtsu M (2010) Crack classification in concrete based on acoustic emission. Constr Build Mater 24:2339–2346. https://doi.org/10.1016/J.CONBUILDMAT.2010.05.004CrossRef

Petružálek M, Lokajíček T, Svitek T et al (2019) Fracturing of migmatite monitored by acoustic emission and ultrasonic sounding. Rock Mech Rock Eng 52:47–59. https://doi.org/10.1007/s00603-018-1590-2CrossRef

Přikryl R, Lokajíček T, Li C, Rudajev V (2003) Acoustic emission characteristics and failure of uniaxially stressed granitic rocks: the effect of rock fabric. Rock Mech Rock Eng 36:255–270. https://doi.org/10.1007/s00603-003-0051-7CrossRef

Ross ZE, Meier MA, Hauksson E (2018) P wave arrival picking and first-motion polarity determination with deep learning. J Geophys Res Solid Earth 123:5120–5129. https://doi.org/10.1029/2017JB015251CrossRef

Schon JH (1996) Physical properties of rocks: fundamentals and principles of petrophysics. Pergamon Press, Oxford 583

Spies T, Eisenblätter J (2001) Acoustic emission investigation of microcrack generation at geological boundaries. Eng Geol 61:181–188. https://doi.org/10.1016/S0013-7952(01)00053-9CrossRef

Ting A, Ru Z, Jianfeng L, Li R (2012) Space–time evolution rules of acoustic emission location of unloaded coal sample at different loading rates. Int J Min Sci Technol 22:847–854. https://doi.org/10.1016/J.IJMST.2012.12.001CrossRef

Triantis D, Kourkoulis SK (2018) An alternative approach for representing the data provided by the acoustic emission technique. Rock Mech Rock Eng 51:2433–2438. https://doi.org/10.1007/s00603-018-1494-1CrossRef

Wang Y-S, Deng J-H, Li L-R, Zhang Z-H (2019) Micro-failure analysis of direct and flat loading Brazilian tensile tests. Rock Mech Rock Eng 52:4175–4187. https://doi.org/10.1007/S00603-019-01877-7CrossRef

Wei J, Zhu W, Guan K et al (2020) An acoustic emission data-driven model to simulate rock failure process. Rock Mech Rock Eng 53:1605–1621. https://doi.org/10.1007/s00603-019-01994-3CrossRef

Wong LNY, Guo TY (2019) Microcracking behavior of two semi-circular bend specimens in mode I fracture toughness test of granite. Eng Fract Mech 221:106565. https://doi.org/10.1016/j.engfracmech.2019.106565CrossRef

Xiao YX, Feng XT, Li SJ et al (2016) Rock mass failure mechanisms during the evolution process of rockbursts in tunnels. Int J Rock Mech Min Sci 83:174–181. https://doi.org/10.1016/j.ijrmms.2016.01.008CrossRef

Xue Y, Ranjith PG, Dang F et al (2020) Analysis of deformation, permeability and energy evolution characteristics of coal mass around borehole after excavation. Nat Resour Res 29:3159–3177. https://doi.org/10.1007/S11053-020-09644-0CrossRef

Zhang Z-H, Deng J-H (2020) A new method for determining the crack classification criterion in acoustic emission parameter analysis. Int J Rock Mech Min Sci. https://doi.org/10.1016/j.ijrmms.2020.104323CrossRef

Title: Interrelation analysis method of acoustic emission for failure prediction of brittle failure based on vibration mechanics
Authors: Jianchao Wang
Guoqing Chen
Yafeng Chen
Mehdi Serati
Publication date: 01-06-2022
Publisher: Springer Berlin Heidelberg
Published in: Bulletin of Engineering Geology and the Environment / Issue 6/2022
Print ISSN: 1435-9529
Electronic ISSN: 1435-9537
DOI: https://doi.org/10.1007/s10064-022-02752-6

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