In this paper, we focus on technical problems of recovering inisolated sublevel of Ashele Copper mine which both up and down hasbeen filled, and which has been mined in Large-diameter deep-hole stopesubsequent filling method.On this basis, Stope structure parametersoptimization has been researched. GTS and FLAC3Dhave been used tomake a three-dimensional numerical model of No.1ore body which isone of Ashele Copper.Surrounding rock stress, displacement and plasticzone distribution characteristics of different programs were calculatedand analyzed by FLAC3D.And on this basis, in a view of probability, thestope micro-units failure probability of programes have been studieddeeply.Based on them, stope structure parameters and optimization modelof neural network was established.Optimal stope structure parameterswere determined combined genetic algorithms with its capabilities ofglobal search and optimization. |