Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals
Name
Z. Moradian et al. RMRE Paper (1).pdf
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7.91 MB
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Author(s)
Moradian, Zabihallah
Ballivy, Gerard
Einstein, Herbert H
Date Issued
June 2015
Journal
Rock Mechanics and Rock Engineering
Publisher
Springer-Verlag
Citation
Moradian, Zabihallah, Herbert H. Einstein, and Gerard Ballivy. “Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals.” Rock Mechanics and Rock Engineering 49, no. 3 (June 16, 2015): 785–800.
Version
Author's final manuscript
Abstract
Determination of the cracking levels during the crack propagation is one of the key challenges in the field of fracture mechanics of rocks. Acoustic emission (AE) is a technique that has been used to detect cracks as they occur across the specimen. Parametric analysis of AE signals and correlating these parameters (e.g., hits and energy) to stress–strain plots of rocks let us detect cracking levels properly. The number of AE hits is related to the number of cracks, and the AE energy is related to magnitude of the cracking event. For a full understanding of the fracture process in brittle rocks, prismatic specimens of granite containing pre-existing flaws have been tested in uniaxial compression tests, and their cracking process was monitored with both AE and high-speed video imaging. In this paper, the characteristics of the AE parameters and the evolution of cracking sequences are analyzed for every cracking level. Based on micro- and macro-crack damage, a classification of cracking levels is introduced. This classification contains eight stages (1) crack closure, (2) linear elastic deformation, (3) micro-crack initiation (white patch initiation), (4) micro-crack growth (stable crack growth), (5) micro-crack coalescence (macro-crack initiation), (6) macro-crack growth (unstable crack growth), (7) macro-crack coalescence and (8) failure.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
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DOI of Published Version
https://doi.org/10.1007/s00603-015-0775-1
