Critical hydraulic pressure forecasting of water inrush in coal seam floors based on a genetic algorithm-neural network

摘要

In recent years, the risk of water inrush in coal seam floors has increased due to an increase of the depth that coal is mined in China. Water inrush in coal mines is brought on by an unbalance in the groundwater flow and engineering geomechanics fields. This occurrence is influenced by factors such as rock characteristics of the base plate, destructiveness range of the fracture zone, relative magnitude of ground stress, hydraulic pressure of the confined aquifer, etc. However, it is difficult to quantitatively describe the relationships between these factors and water inrush. As a result, the issue has not yet been resolved either in theory or in practice.