Mining Subsidence Prediction Model and Parameters Inversion in Mountainous Areas

Coal mining in mountainous areas is general China, especially Shanxi Province. Under the influence of topography areas, surface collapses and landslides caused by underground happen at a certain frequency threaten human lives assets. Accurate prediction movement deformation subsidence facilitates prevention control geological disasters. The probability integral method an official for while it lacking accuracy due to inherent topography. Therefore, practical model based on slopes slip combined parameters optimization was proposed this study. horizontal were deduced considering (slope angle ? < 30°) conditions (loess covered) build model. dynamic step fruit fly algorithm (DSFOA) applied inversion about model, other determined mechanics analysis nature losses. determination more efficient, objective reasonable, so that can be improved. measured data working panel 22,101 located Taiyuan, Province verified result shows mean square error decreased 71 mm 276 mm, respectively, hence, applicability verified. This work will contribute comprehensive understanding law provide theoretical guidance damage areas.