Research on Rock Crack Classification Based on Acoustic Emission Waveform Feature Extraction Technology

AbstractRock fracture mode has practical significance for the prediction and prevention of engineering disasters, and the inversion of fracture mode by the waveform signal not only reduces the experimental error of the mechanical strength measurement but also simplifies the type and...

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Main Authors: Ziwei Ding, Xiaofei Li, Qingbao Tang, Jindui Jia, Chengdeng Gao, Shaoyi Wang
Format: Article
Language:English
Published: GeoScienceWorld 2022-03-01
Series:Lithosphere
Online Access:https://pubs.geoscienceworld.org/lithosphere/article/2022/Special%2011/5804064/612497/Research-on-Rock-Crack-Classification-Based-on
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author Ziwei Ding
Xiaofei Li
Qingbao Tang
Jindui Jia
Chengdeng Gao
Shaoyi Wang
author_facet Ziwei Ding
Xiaofei Li
Qingbao Tang
Jindui Jia
Chengdeng Gao
Shaoyi Wang
author_sort Ziwei Ding
collection DOAJ
description AbstractRock fracture mode has practical significance for the prediction and prevention of engineering disasters, and the inversion of fracture mode by the waveform signal not only reduces the experimental error of the mechanical strength measurement but also simplifies the type and quantity of disaster prediction source data. For the relationship between crack mode and mechanical strength, the acoustic emission (AE) waveform signal is studied. Six coarse-grained sandstone samples were tested by uniaxial compression, AE, and scanning electron microscopy. The results show that the number of microhole cracks in rock is positively correlated with tensile-shear cracks and negatively correlated with mechanical strength. The quadratic function regression curve of the proportion of shear cracks and mechanical strength is more realistic. When crack ratio is less than 0.31, the number of shear cracks is positively correlated with the mechanical strength and vice versa. The waveform mutation coefficient k is defined as the overall change description. It is found that the increase of signal mutation has a positive impact on the mechanical strength of rock. The fitting function of crack and the signal mutation near the peak of rock can be divided into six risk zones in a two-dimensional plane. In addition to these exciting results and discoveries, the determination of the number of tensile-shear cracks and its relationship with mechanical strength provide innovative methods and ideas for crack pattern discrimination and rock burst risk assessment of roadway surrounding rock.
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spelling doaj.art-0c829d6fd35c408abd7b9c2a929e23ab2022-12-22T00:20:24ZengGeoScienceWorldLithosphere1941-82641947-42532022-03-012022Special 1110.2113/2022/5804064Research on Rock Crack Classification Based on Acoustic Emission Waveform Feature Extraction TechnologyZiwei Ding0http://orcid.org/0000-0002-0310-2358Xiaofei Li1http://orcid.org/0000-0001-7797-4522Qingbao Tang2Jindui Jia3Chengdeng Gao4Shaoyi Wang5College of Energy Engineering Xi’an University of Science and Technology Xi’an 710054 China xust.edu.cnCollege of Energy Engineering Xi’an University of Science and Technology Xi’an 710054 China xust.edu.cnCollege of Energy Engineering Xi’an University of Science and Technology Xi’an 710054 China xust.edu.cnCollege of Energy Engineering Xi’an University of Science and Technology Xi’an 710054 China xust.edu.cnCollege of Energy Engineering Xi’an University of Science and Technology Xi’an 710054 China xust.edu.cnCollege of Energy Engineering Xi’an University of Science and Technology Xi’an 710054 China xust.edu.cn AbstractRock fracture mode has practical significance for the prediction and prevention of engineering disasters, and the inversion of fracture mode by the waveform signal not only reduces the experimental error of the mechanical strength measurement but also simplifies the type and quantity of disaster prediction source data. For the relationship between crack mode and mechanical strength, the acoustic emission (AE) waveform signal is studied. Six coarse-grained sandstone samples were tested by uniaxial compression, AE, and scanning electron microscopy. The results show that the number of microhole cracks in rock is positively correlated with tensile-shear cracks and negatively correlated with mechanical strength. The quadratic function regression curve of the proportion of shear cracks and mechanical strength is more realistic. When crack ratio is less than 0.31, the number of shear cracks is positively correlated with the mechanical strength and vice versa. The waveform mutation coefficient k is defined as the overall change description. It is found that the increase of signal mutation has a positive impact on the mechanical strength of rock. The fitting function of crack and the signal mutation near the peak of rock can be divided into six risk zones in a two-dimensional plane. In addition to these exciting results and discoveries, the determination of the number of tensile-shear cracks and its relationship with mechanical strength provide innovative methods and ideas for crack pattern discrimination and rock burst risk assessment of roadway surrounding rock.https://pubs.geoscienceworld.org/lithosphere/article/2022/Special%2011/5804064/612497/Research-on-Rock-Crack-Classification-Based-on
spellingShingle Ziwei Ding
Xiaofei Li
Qingbao Tang
Jindui Jia
Chengdeng Gao
Shaoyi Wang
Research on Rock Crack Classification Based on Acoustic Emission Waveform Feature Extraction Technology
Lithosphere
title Research on Rock Crack Classification Based on Acoustic Emission Waveform Feature Extraction Technology
title_full Research on Rock Crack Classification Based on Acoustic Emission Waveform Feature Extraction Technology
title_fullStr Research on Rock Crack Classification Based on Acoustic Emission Waveform Feature Extraction Technology
title_full_unstemmed Research on Rock Crack Classification Based on Acoustic Emission Waveform Feature Extraction Technology
title_short Research on Rock Crack Classification Based on Acoustic Emission Waveform Feature Extraction Technology
title_sort research on rock crack classification based on acoustic emission waveform feature extraction technology
url https://pubs.geoscienceworld.org/lithosphere/article/2022/Special%2011/5804064/612497/Research-on-Rock-Crack-Classification-Based-on
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AT jinduijia researchonrockcrackclassificationbasedonacousticemissionwaveformfeatureextractiontechnology
AT chengdenggao researchonrockcrackclassificationbasedonacousticemissionwaveformfeatureextractiontechnology
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