【摘要】 将混凝土大坝和岩石基础的力学参数识别反问题作为优化问题处理,然后采用混合遗传算法求解可准确地确定岩体的力学参数.基于观测的混凝土大坝坝顶水平位移,建立了识别混凝土大坝和岩石基础力学参数的数值方法.为解决简单遗传算法的早熟问题,将遗传算法与模拟退火算法相结合,提出了基于混合遗传算法的混凝土大坝力学参数反演方法.丰满混凝土大坝实际工程应用表明,根据参数反演结果预报大坝在不同水位条件下的水平位移具有较高的精度.更多还原

【Abstract】 Precise determination of material mechanical constants is a very important problem in the rock mechanics and engineering. The inverse problem of material constant identification for the concrete dam and the rock masses is formulated as an optimization problem, which is then solved by using hybrid genetic algorithm(HGA). Based on the measured horizontal displacements of the dam, the inversion procedure is proposed for determining the material constants of the rock masses and the concrete dam. In order to overcome the premature problem of simple genetic algorithm, a new inversion algorithm is investigated by combining genetic algorithm with simulated annealing algorithm. The practical application of the proposed algorithm to the Fengman concrete dam shows that the parameter inversion approach can obviously enhance the forecasting precision of the dam deformation.更多还原