Spatial correlation-based characterization of acoustic emission signal-cloud in a granite sample by a cube clustering approach
To extract more in-depth information of acoustic emission (AE) signal-cloud in rock failure under triaxial compression, the spatial correlation of scattering AE events in a granite sample is effectively described by the cube-cluster model. First, the complete connection of the fracture network is re...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-07-01
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| Series: | International Journal of Mining Science and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095268621000574 |
| _version_ | 1818621534849204224 |
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| author | Dongjie Xue Zepeng Zhang Cheng Chen Jie Zhou Lan Lu Xiaotong Sun Yintong Liu |
| author_facet | Dongjie Xue Zepeng Zhang Cheng Chen Jie Zhou Lan Lu Xiaotong Sun Yintong Liu |
| author_sort | Dongjie Xue |
| collection | DOAJ |
| description | To extract more in-depth information of acoustic emission (AE) signal-cloud in rock failure under triaxial compression, the spatial correlation of scattering AE events in a granite sample is effectively described by the cube-cluster model. First, the complete connection of the fracture network is regarded as a critical state. Then, according to the Hoshen-Kopelman (HK) algorithm, the real-time estimation of fracture connection is effectively made and a dichotomy between cube size and pore fraction is suggested to solve such a challenge of the one-to-one match between complete connection and cluster size. After, the 3D cube clusters are decomposed into orthogonal layer clusters, which are then transformed into the ellipsoid models. Correspondingly, the anisotropy evolution of fracture network could be visualized by three orthogonal ellipsoids and quantitatively described by aspect ratio. Besides, the other three quantities of centroid axis length, porosity, and fracture angle are analyzed to evaluate the evolution of cube cluster. The result shows the sample dilatancy is strongly correlated to four quantities of aspect ratio, centroid axis length, and porosity as well as fracture angle. Besides, the cube cluster model shows a potential possibility to predict the evolution of fracture angle. So, the cube cluster model provides an in-depth view of spatial correlation to describe the AE signal-cloud. |
| first_indexed | 2024-12-16T18:10:49Z |
| format | Article |
| id | doaj.art-6a7518a8b653487f93e6201257286c9a |
| institution | Directory Open Access Journal |
| issn | 2095-2686 |
| language | English |
| last_indexed | 2024-12-16T18:10:49Z |
| publishDate | 2021-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Mining Science and Technology |
| spelling | doaj.art-6a7518a8b653487f93e6201257286c9a2022-12-21T22:21:47ZengElsevierInternational Journal of Mining Science and Technology2095-26862021-07-01314535551Spatial correlation-based characterization of acoustic emission signal-cloud in a granite sample by a cube clustering approachDongjie Xue0Zepeng Zhang1Cheng Chen2Jie Zhou3Lan Lu4Xiaotong Sun5Yintong Liu6School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China; State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China; State Key Laboratory of Coal Resource and Safe Mining, China University of Mining and Technology-Beijing, Beijing 100083, China; Corresponding author.School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaTo extract more in-depth information of acoustic emission (AE) signal-cloud in rock failure under triaxial compression, the spatial correlation of scattering AE events in a granite sample is effectively described by the cube-cluster model. First, the complete connection of the fracture network is regarded as a critical state. Then, according to the Hoshen-Kopelman (HK) algorithm, the real-time estimation of fracture connection is effectively made and a dichotomy between cube size and pore fraction is suggested to solve such a challenge of the one-to-one match between complete connection and cluster size. After, the 3D cube clusters are decomposed into orthogonal layer clusters, which are then transformed into the ellipsoid models. Correspondingly, the anisotropy evolution of fracture network could be visualized by three orthogonal ellipsoids and quantitatively described by aspect ratio. Besides, the other three quantities of centroid axis length, porosity, and fracture angle are analyzed to evaluate the evolution of cube cluster. The result shows the sample dilatancy is strongly correlated to four quantities of aspect ratio, centroid axis length, and porosity as well as fracture angle. Besides, the cube cluster model shows a potential possibility to predict the evolution of fracture angle. So, the cube cluster model provides an in-depth view of spatial correlation to describe the AE signal-cloud.http://www.sciencedirect.com/science/article/pii/S2095268621000574Acoustic emissionTriaxial compressionFracture connectionSpatial correlationCube cluster modelDilatancy |
| spellingShingle | Dongjie Xue Zepeng Zhang Cheng Chen Jie Zhou Lan Lu Xiaotong Sun Yintong Liu Spatial correlation-based characterization of acoustic emission signal-cloud in a granite sample by a cube clustering approach International Journal of Mining Science and Technology Acoustic emission Triaxial compression Fracture connection Spatial correlation Cube cluster model Dilatancy |
| title | Spatial correlation-based characterization of acoustic emission signal-cloud in a granite sample by a cube clustering approach |
| title_full | Spatial correlation-based characterization of acoustic emission signal-cloud in a granite sample by a cube clustering approach |
| title_fullStr | Spatial correlation-based characterization of acoustic emission signal-cloud in a granite sample by a cube clustering approach |
| title_full_unstemmed | Spatial correlation-based characterization of acoustic emission signal-cloud in a granite sample by a cube clustering approach |
| title_short | Spatial correlation-based characterization of acoustic emission signal-cloud in a granite sample by a cube clustering approach |
| title_sort | spatial correlation based characterization of acoustic emission signal cloud in a granite sample by a cube clustering approach |
| topic | Acoustic emission Triaxial compression Fracture connection Spatial correlation Cube cluster model Dilatancy |
| url | http://www.sciencedirect.com/science/article/pii/S2095268621000574 |
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