Optimization of support parameters for deep roadway based on SOA-RF intelligent algorithm
Stability control of the surrounding rock of gob-side entry in deep mine under strong mining disturbance is a technical challenge.To study the evolution characteristics of the displacement and stress field in deep roadway along gob under the dynamic load,the numerical model was established based on No.103 working face of Gaojiabao Coal Mine.Then,the displacement and stress field evolution characteristics in deep roadway along gob 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,according to the importance ranking,the roadway surrounding rock has the most obvious response to the dynamic loading amplitude under different dynamic loading factors;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 3552.5 m2/MPa.By means of regression analysis method,the empirical equations under different dynamic loading conditions were obtained.On this basis,the cooperative control technology of"yield pressure-support"was proposed to alleviate the deformation of the surrounding rock in roadways by gob.The results of numerical simulation and field monitoring verified the feasibility of the cooperative control technology.
deep miningroadway mining along gobSOA-RF intelligent algorithmsdynamic loadingsupport parameters
万方数据
维普
