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JIA Ce,FAN Chaojun,LI Sheng,et al. Optimization of support parameters of development roadway passing through collapse column based on AHP−entropy weight combination[J]. Coal Science and Technology,2025,53(8):187−201. DOI: 10.12438/cst.2024-0708
Citation: JIA Ce,FAN Chaojun,LI Sheng,et al. Optimization of support parameters of development roadway passing through collapse column based on AHP−entropy weight combination[J]. Coal Science and Technology,2025,53(8):187−201. DOI: 10.12438/cst.2024-0708

Optimization of support parameters of development roadway passing through collapse column based on AHP−entropy weight combination

  • Collapse column crushing area is easy to induce safety accidents, reasonable design of roadway support parameters in the collapse column area is especially important for safe and efficient tunneling. A combination of theoretical analysis, numerical simulation, and engineering testing was employed to investigate the optimization of support parameters for surrounding rock in development roadways passing collapse columns. In this paper, the technical and economic indexes of support are considered comprehensively. The evaluation system of the support effect of the development roadway passing through the columm column is constructed. The comprehensive evaluation method of AHP-entropy weight combination assignment is proposed to determine the optimal support parameters. Interface development based on Node-Red language. Intelligent design system for roadway support parameters in Zhangcun Coal Mine was developed using FLAC3D software as the platform bottom service. The results indicate that the identified support technology evaluation indicators include roof subsidence rate, sidewall deformation rate, floor heave rate, and bolt deformation rate. The support economic indicators are support cost and tunneling speed. The system incorporates five key functions: login, roadway stability analysis, initial design of support parameters, support scheme result display, and roadway support effectiveness evaluation. These features enable intelligent design and assessment of roadway support in Zhangcun Coal Mine. The optimal support scheme II are 900 mm row spacing between blot, 3 cables arranged in the roof, and 900 mm spacing between the sheds of industrial steel sheds. After the field application, in the mine pressure monitoring 0−60 d, the maximum value of the surface displacement of the roof is 218 mm, and the maximum surface displacement of the two sides reaches 105 mm. The maximum value of the roof slab away from the layer is 5 mm at depth and 5 mm at the shallow base. The roof cables are all stressed, with forces ranging from 196 kN to 206 kN. It stabilized around 30 d and the surrounding rock was effectively controlled. The intelligent roadway support design system was successfully validated in the Zhangcun Coal Mine, offering a novel methodology for optimizing support parameters in roadway sections passing collapsed column.
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