An Adaptive Response Surface Methodology for Determining Coal Pillar Width in Geologically Variable Longwall Panels.
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| Title: | An Adaptive Response Surface Methodology for Determining Coal Pillar Width in Geologically Variable Longwall Panels. |
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| Authors: | Yang, Sen1,2 (AUTHOR), He, Zhe1,2 (AUTHOR), Xu, Yang1,2 (AUTHOR) 24203226049@stu.xust.edu.cn, Yu, Xin3 (AUTHOR), Yuan, Yuxin1,2 (AUTHOR), Chen, Zhiwen4 (AUTHOR), Lu, Hui (AUTHOR) cumtbluhui@hotmail.com |
| Source: | Geofluids. 5/9/2026, Vol. 2026, p1-15. 15p. |
| Subject Terms: | *Longwall mining, *Stress concentration, *Response surfaces (Statistics), *Deformations (Mechanics), *Computer simulation |
| Abstract: | Simulation‐based approaches are increasingly vital for addressing complex design challenges in underground coal mining, a domain where longwall pillar design is critically challenged by geological variability, and conventional methods lack adaptive capacity. This study develops a responsive design framework integrating response surface methodology (RSM) and numerical simulation to determine optimal pillar width under variable burial depth, dip angle, and mining height. Based on a Box–Behnken experimental design and FLAC 3D simulations, quadratic models were established for roadway deformation and pillar stress concentration, showing excellent fit (R2 > 0.94). Pillar width is the most influential factor for both responses. Significant interaction effects were identified: widening pillars reduces depth‐induced deformation but may cause stress concentration in deep zones; a threshold width of approximately 7–8 m exists, beyond which increasing mining height promotes stress dissipation; and simultaneous increases in mining height and burial depth synergistically amplify roof displacement. Field validation under challenging geological transitions (seam thickness: 7–15 m; dip: 18°–0°) confirmed the model's reliability. Adjusting pillar width from 6 to 8 m reduced average roof deformation by approximately 50% while keeping stress concentration within safe limits. The proposed RSM‐based approach provides a computationally efficient and practically adaptable alternative to conventional pillar design in geologically variable panels. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | Simulation‐based approaches are increasingly vital for addressing complex design challenges in underground coal mining, a domain where longwall pillar design is critically challenged by geological variability, and conventional methods lack adaptive capacity. This study develops a responsive design framework integrating response surface methodology (RSM) and numerical simulation to determine optimal pillar width under variable burial depth, dip angle, and mining height. Based on a Box–Behnken experimental design and FLAC 3D simulations, quadratic models were established for roadway deformation and pillar stress concentration, showing excellent fit (R2 > 0.94). Pillar width is the most influential factor for both responses. Significant interaction effects were identified: widening pillars reduces depth‐induced deformation but may cause stress concentration in deep zones; a threshold width of approximately 7–8 m exists, beyond which increasing mining height promotes stress dissipation; and simultaneous increases in mining height and burial depth synergistically amplify roof displacement. Field validation under challenging geological transitions (seam thickness: 7–15 m; dip: 18°–0°) confirmed the model's reliability. Adjusting pillar width from 6 to 8 m reduced average roof deformation by approximately 50% while keeping stress concentration within safe limits. The proposed RSM‐based approach provides a computationally efficient and practically adaptable alternative to conventional pillar design in geologically variable panels. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 14688115 |
| DOI: | 10.1155/gfl/5775504 |
