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Coal Engineering ›› 2024, Vol. 56 ›› Issue (9): 41-48.doi: 10.11799/ce202409008

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Optimization of support parameters for deep roadway based on SOA-RF intelligent algorithm#br#

  

  • Received:2024-01-03 Revised:2024-04-26 Online:2023-09-20 Published:2025-01-08

Abstract:

Stability control of the surrounding rock in deep gob-side entry under strong mining disturbance is a technical challenge. In order to study the evolution characteristics of the displacement and stress field in deep gob-side entry under dynamic load, the numerical model was established based on 103 working face of Gaojiabao coal mine. Then, the displacement and stress field evolution characteristics in deep gob-side entry under dynamic load were analyzed by FLAC3D software. Finally, the sensitivity analysis of the roadway response parameters was carried out by the machine learning method. The results show that: (1) according to the importance score, the roadway surrounding rock has the most obvious response to the dynamic loading amplitude under different dynamic loading factors; (2) under different dynamic loading amplitudes, the maximum deformation rate of the roadway reaches 17.5 mm/MPa, the maximum deformation rate of the two sides reaches 16.1 mm/MPa, and the maximum rate of plasticity development reaches 3,552.5 m2/MPa. (3) using regression analysis method, the empirical equations under different dynamic loading conditions are obtained. On this basis, the cooperative control technology of "letting pressure-supporting" is proposed to alleviate the deformation of the surrounding rock of gob-side entry. The results of numerical simulation and field monitoring verify the feasibility of the cooperative control technology.

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