基于改进鲸鱼优化算法的重力坝变形参数反演

Parameter inversion of gravity dam deformation based on improved whale optimization algorithm

针对利用位移实测资料对大坝坝体和基岩的变形力学参数进行优化反演时存在效率低、精度差等问题,通过对鲸鱼优化算法进行并行化改进,并引入权重因子,结合有限元计算,提出一种基于改进鲸鱼优化算法的力学参数反演方法。利用该方法对某混凝土重力坝坝体和基岩弹性模量进行反演,并与粒子群算法的反演结果进行比较。结果表明:在相同迭代次数的情况下,改进的鲸鱼优化算法比粒子群算法耗时更少,且反演得到的坝体、基岩力学参数比粒子群算法得到的更为准确。表明利用多核处理器对该方法进行并行计算,可大幅度缩短计算时间。基于改进鲸鱼优化算法的力学参数反演方法具有搜索能力强、收敛速度快和精度高等特点,合理可行,可推广应用于混凝土拱坝等其他坝型的力学参数反演。

There are disadvantages such as low efficiency and poor precision in the mechanical parameter inversion of the dam body and foundation displacement using measured data.Through the parallel improvement of whale optimization algorithm and the introduction of weighting factor strategy,combined with the finite element calculation,a mechanical parameter inversion method based on the improved whale algorithm is proposed.This method is used to invert the elastic modulus of a concrete gravity dam body and foundation,and then the results were compared with those of the particle swarm optimization.It is found that the improved whale optimization algorithm takes less time than particle swarm optimization under the same iteration times,and the mechanical parameters obtained through the improved whale optimization algorithm are more accurate than those through the particle swarm optimization.It indicates that the computation time can be greatly reduced by using multi-core processors for parallel computation.The mechanical parameter inversion method based on the improved whale optimization algorithm has the advantages of strong searching ability,fast convergence speed and high precision,which is practical and feasible,and can be applied to the mechanical parameter inversion of concrete arch dams and other dam types.