关键词: 遗传算法, 厚冲积层, 概率积分参数, 冲积层与基岩厚度比

Abstract: The probability integral parameters of surface movement in thick alluvial mining area are closely related to the occurrence conditions of alluvial and bedrock layers. In this paper, based on the measured data of surface observation station of multi-seam and multi-working face mining under the condition of thick alluvial layer in Donghuantuo Coal Mine, the probability integral parameters of surface movement under the condition of different thickness ratio of alluvial layer to bedrock are inversed by genetic algorithm. The results show that the measured maximum subsidence value is 10893 mm, the maximum inclination is 62.3 mm/m, and the maximum curvature is 1.69. Genetic algorithm is used to solve the problem of probability integral parameter inversion of multi-working face mining, and the inversion subsidence coefficient is corrected. When the thickness ratio of alluvial layer to bedrock Hs/Hj≤1, the subsidence coefficient is 0.82, the main influence angle tangent is 1.81, the inflection point offset coefficient is 0.04, and the mining influence propagation angle is 90°-0.4α; when Hs/Hj>1, subsidence coefficient is 0.96, main influence angle tangent is 2.05, corner offset coefficient is 0.03, mining influence propagation angle is 90°-0.3α;The research results have good effect in the application analysis of mining influence of Xi Village, which verifies the correctness of the surface movement law and parameters of the mine.