Computed Tomography Observation and Image-Based Simulation of Fracture Propagation in Compressed Coal
In this study, the fracture propagation characteristics and associated mechanisms of coal are investigated by using computed tomography (CT) observation and image-based simulation. The spatial distribution and the structural morphology of original fractures provide significant influences on the fail...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/1/260 |
| _version_ | 1797625929890004992 |
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| author | Zhaohui Wang Wenchao Sun Yanting Shui Pengju Liu |
| author_facet | Zhaohui Wang Wenchao Sun Yanting Shui Pengju Liu |
| author_sort | Zhaohui Wang |
| collection | DOAJ |
| description | In this study, the fracture propagation characteristics and associated mechanisms of coal are investigated by using computed tomography (CT) observation and image-based simulation. The spatial distribution and the structural morphology of original fractures provide significant influences on the failure behavior of fractured coal. The fractures with small dip angles and large openings result in more-obvious fracture closure and stable propagation stages, while failure pattern is more sensitive to those with large dip angles. The coal tends to experience brittle failure, which transits from a splitting to mixed-splitting faulting mode because of the difference in original fracture distribution. The final failure fracture network originates mainly from the propagation of original fractures, driven by localized tensile stress. Fracture interaction and mineral influence tend to increase the complexity in the failure fracture network. Moreover, image-based numerical models are established on the basis of CT reconstruction, where the spatial distribution and the structural morphology of original fractures are properly considered. Numerical modeling reproduces similar stress–strain responses and failure fracture networks to that observed in the experiment. The predicted distribution of tensile stress shows a similar evolution trend to the failure fracture network, implying that the fracture propagation of coal is dominated by tensile failure. Shear cracks emerge mainly after the large fracture running through the coal sample has been formed. |
| first_indexed | 2024-03-11T10:03:26Z |
| format | Article |
| id | doaj.art-eab5616995d64036a85b23fe2a9531d4 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T10:03:26Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-eab5616995d64036a85b23fe2a9531d42023-11-16T15:16:46ZengMDPI AGEnergies1996-10732022-12-0116126010.3390/en16010260Computed Tomography Observation and Image-Based Simulation of Fracture Propagation in Compressed CoalZhaohui Wang0Wenchao Sun1Yanting Shui2Pengju Liu3School of Energy and Mining Engineering, China University of Mining and Technology, Beijing 100083, ChinaSchool of Energy and Mining Engineering, China University of Mining and Technology, Beijing 100083, ChinaSchool of Energy and Mining Engineering, China University of Mining and Technology, Beijing 100083, ChinaSchool of Energy and Mining Engineering, China University of Mining and Technology, Beijing 100083, ChinaIn this study, the fracture propagation characteristics and associated mechanisms of coal are investigated by using computed tomography (CT) observation and image-based simulation. The spatial distribution and the structural morphology of original fractures provide significant influences on the failure behavior of fractured coal. The fractures with small dip angles and large openings result in more-obvious fracture closure and stable propagation stages, while failure pattern is more sensitive to those with large dip angles. The coal tends to experience brittle failure, which transits from a splitting to mixed-splitting faulting mode because of the difference in original fracture distribution. The final failure fracture network originates mainly from the propagation of original fractures, driven by localized tensile stress. Fracture interaction and mineral influence tend to increase the complexity in the failure fracture network. Moreover, image-based numerical models are established on the basis of CT reconstruction, where the spatial distribution and the structural morphology of original fractures are properly considered. Numerical modeling reproduces similar stress–strain responses and failure fracture networks to that observed in the experiment. The predicted distribution of tensile stress shows a similar evolution trend to the failure fracture network, implying that the fracture propagation of coal is dominated by tensile failure. Shear cracks emerge mainly after the large fracture running through the coal sample has been formed.https://www.mdpi.com/1996-1073/16/1/260CT observationfracture propagationimage-based modeltensile stressfailure pattern |
| spellingShingle | Zhaohui Wang Wenchao Sun Yanting Shui Pengju Liu Computed Tomography Observation and Image-Based Simulation of Fracture Propagation in Compressed Coal Energies CT observation fracture propagation image-based model tensile stress failure pattern |
| title | Computed Tomography Observation and Image-Based Simulation of Fracture Propagation in Compressed Coal |
| title_full | Computed Tomography Observation and Image-Based Simulation of Fracture Propagation in Compressed Coal |
| title_fullStr | Computed Tomography Observation and Image-Based Simulation of Fracture Propagation in Compressed Coal |
| title_full_unstemmed | Computed Tomography Observation and Image-Based Simulation of Fracture Propagation in Compressed Coal |
| title_short | Computed Tomography Observation and Image-Based Simulation of Fracture Propagation in Compressed Coal |
| title_sort | computed tomography observation and image based simulation of fracture propagation in compressed coal |
| topic | CT observation fracture propagation image-based model tensile stress failure pattern |
| url | https://www.mdpi.com/1996-1073/16/1/260 |
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