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采场尾砂胶结充填体力学参数难以在实验室得到,有必要用反分析方法获取.采用有限元方法对不同充填体力学参数的变形结果进行计算,建立充填体力学参数与其变形结果的神经网络映射模型.用混沌优化与神经网络映射模型相结合,实现了充填体力学参数反演计算.对安庆铜矿高阶段充填体工程实例进行了分析,得出了不同配比尾砂胶结充填体力学参数.研究结果表明,混沌优化与神经网络相结合的反分析方法能实现全局寻优,具有较高的计算精度.图2,表3,参8.
The mechanics parameters of cemented tailings cemented filling body are difficult to obtain in laboratory and it is necessary to obtain them by back analysis.The finite element method is used to calculate the deformation results of different filling body mechanical parameters and to establish the neural network of filling body mechanical parameters and its deformation results Mapping model.The chaos optimization and neural network mapping model are combined to realize the inversion calculation of mechanical parameters of filling body.An engineering project of high-stage filling body in Anqing Copper Mine is analyzed and the physical mechanics of tailings cemented filling is obtained The results show that the inverse analysis combining chaos optimization and neural network can achieve global optimization with high accuracy.