尾砂充填体力学参数混沌优化反分析研究

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.

Research on back analysis for mechanical parameters of tailings backfill with chaotic optimization

The mechanical parameters of cemented tailings backfill in stope cannot be obtained in lab, so it is necessary to obtain them by a method of back analysis. Calculating the results of deformation with different mechanical parameters of backfill by finite element method, a mapping model of neural network that embodied the relations between mechanical parameters and results of deformation was introduced. Coupling chaotic optimization with mapping neural network, a method of back analysis for mechanical parameters of backfill was realized. Analyzing an engineering example of high backfill in Anqing copper mine, mechanical parameters of backfill in different ratios of cement to tailings were obtained. Research results show that the method can search optimization parameters in the globe range, and has high precision of calculation.2figs.,3tabs.,8refs.