基于IDE-OSVR-ABAQUS的岩土力学参数反演方法

摘要

提出引入自适应因子的改进型差分进化算法(IDE),并应用于优化在线支持回归机(OSVR)的核参数和惩罚参数,建立岩土体位移和岩土力学参数之间复杂非线性关系的动态最优IDE-OSVR模型,输入岩土体位移值直接输出岩土力学参数实现参数反演.通过均匀设计方法与ABAQUS正计算构建初始训练集,然后逐次反演并进行验算误差,将误差未达到预定阈值前的验算样本增添至训练集,使得IDE-OSVR模型不断在线学习,提高参数反演精度.将IDE-OSVR-ABAQUS反演方法应用于工程算例,并同几种典型方法对比.结果表明:该方法的岩土力学参数反演速度很快,反演精度很高,是一种合理的岩土力学参数反演方法.%An improved differential evolution algorithm (IDE) is proposed by introducing adaptive factor and is applied to optimizing the kernel parameter and penalty parameter of online support vector regression (OSVR).A dynamic optimal IDE-OSVR model which reflects the complex nonlinear relationship between rock and soil mass displacements and geotechnical parameters is established.The inversion of parameters can be accomplished by inputting the soil mass displacements in the IDE-OSVR model.The initial training set is designed with uniform design method and ABAQUS calculation,then the errors of successive inversed parameters are checked,and the checked sample will be added to training set if the error is greater than the predetermined threshold.Through the continuous online learning process,the precision of parameters inversion by IDE-OSVR model can be enhanced.The inversion method based on IDE-OSVR-ABAQUS is applied to an engineering example and the result is compared with those of typical methods.The comparison result shows that the IDE-OSVR-ABAQUS inversion method is very fast with high accuracy,hence is a reasonable method for the inversion of geotechnical mechanics parameters.