Inversion of In-situ stress field in near-fault coal mining area by coupling numerical simulation with deep learning
Understanding the in-situ stress distribution is crucial for coal mine production. In mining area 105 of Yuandian No. 1 Coal Mine, in-situ stress measurements were carried out using the stress relief method. Based on the collected data, the in-situ stress field was inverted using a Transformer archi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2545374 |
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| Summary: | Understanding the in-situ stress distribution is crucial for coal mine production. In mining area 105 of Yuandian No. 1 Coal Mine, in-situ stress measurements were carried out using the stress relief method. Based on the collected data, the in-situ stress field was inverted using a Transformer architecture. The inversion results indicate that the Transformer achieves higher accuracy than the PSO-SVR method, demonstrating its suitability for in-situ stress inversion in near-fault mining areas. The distribution and characteristics of in-situ stress are jointly influenced by the Wugouyangliu-1 fault and burial depth; however, at greater depths, burial depth becomes the primary controlling factor. A significant stress concentration is observed near the fault zone, with stress values increasing by approximately 60%. Moreover, the axes of mining roadways are almost perpendicular to the maximum horizontal principal stress, which adversely affects roadway stability. This work verifies the feasibility of Transformer for in-situ stress field inversion in the near-fault coal mining area. |
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| ISSN: | 1947-5705 1947-5713 |