Abstract
Mine water inrush was one of the main challenges in deep mining. The analysis and study of the key factors affecting mine water inrush was an important part of the prevention and control of water inrush accidents for underwater mining. Based on the theory of cellular automata, a space-time dynamic evolution model with square grid cell space and Mohr cell neighborhood is established, and a one-dimensional cellular automata model of porous media seepage is constructed to analyze the coupling effect of water flow in rock media and its influence on rock permeability. Based on the analysis of the influence of mining engineering geological conditions on mine water inrush, the influence of the permeability of overlying strata and the influence of fault fracture zone on permeability was further analyzed. In the analysis of the mechanical properties and failure process of the surrounding rock with faults and fractures, the important influencing parameters of mine water inrush accident evaluation were obtained. It provided theoretical reference and work guidance for the prevention of mine water inrush accident and related measures.
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