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引入小生境技术和自适应杂交变异概率方法,基于并行有限元程序,给出了适合推求拱坝和地质力学参数的位移反分析并行遗传算法,并编制了相应的程序,利用地质力学模型试验数据,对溪洛渡拱坝进行了位移反分析,得到了和试验相一致的坝体混凝土和地基岩体的力学参数。结果表明,该算法可以有效解决简单遗传算法的早熟收敛问题,收敛效率得到明显提高。当采用16个CPU进行并行计算时,可以达到42%的计算效率,表明该算法适用于拱坝这样复杂的三维结构的位移反分析,可以大大减少拱坝位移反分析的时间。
By introducing niche technology and self-adaptive mutation probability method, a parallel genetic algorithm based on parallel finite element program is proposed for displacement back analysis, which is suitable for arching dam and geomechanical parameters. A corresponding program is compiled and the geomechanical model test data , The displacement analysis of Xiluodu arch dam was carried out, and the mechanical parameters of dam concrete and ground rock mass are obtained in accordance with the experiment. The results show that this algorithm can effectively solve the premature convergence problem of simple genetic algorithm, and the convergence efficiency is obviously improved. When 16 CPUs are used in parallel computation, the computational efficiency of 42% can be achieved, which shows that the proposed algorithm is suitable for back analysis of complex 3D structures such as arch dam. It can greatly reduce the time of back analysis of arch dam displacements.