摘要
为了优化地质沉积模拟平台的动静态刚度,提出了以最大变形和一阶频率为目标函数的自适应多目标优化方法。通过结合最优空间填充设计和Kriging插值思想,构建了优化设计初始代理模型,并利用实验设计方法、近似最优解局部加密处理的更新迭代思想,建立了在局部区域和全局空间内均有近似高精度的Kriging模型。在此基础上,基于多目标遗传算法得到了目标函数的Pareto最优解。结果表明:优化后,沉积模拟平台的最大应力下降了11.71%,最大变形下降了22.61%,质量下降了1.60%,一阶频率下降了0.70%。
In order to optimize the dynamic and static stiffness of geological sedimentation simulation platform,a method of multiple objective optimization driven by the maximum deformation and first natural frequency was proposed.By combining the optimal space filling design and Kriging interpolation idea,the initial agent model of optimal design was constructed.By using the experimental design method and the updating iteration idea of local encryption of approximate optimal solution,the Kriging model with approximate high accuracy in local region and global space was established.On this basis,Pareto optimal solution of the objective function was obtained based on the multi-objective genetic algorithm.By the optimization,the maximum stress of the geological sedimentation simulation platform is reduced by 11.71%,and the maximum deformation is reduced by 22.61%,the mass is reduced by 1.60%,and the first natural frequency is reduced by 0.70%.
作者
冯鑫
华剑
周思柱
尹艳树
帅正昕
王鑫
FENG Xin;HUA Jian;ZHOU Sizhu;YIN Yanshu;SHUAI Zhengxin;WANG Xin(Institute of Strength and Vibration of Mechanical Structures,Yangtze University,Jingzhou,Hubei 434023,China;School of Geosciences,Yangtze University,Wuhan 430100,China)
出处
《中国科技论文》
CAS
北大核心
2022年第10期1162-1166,共5页
China Sciencepaper
基金
国家科技重大专项(2016ZX05031-002-001)。
关键词
自适应多目标
地质沉积模拟平台
KRIGING
多目标遗传算法
adaptive multiple objective
geological sedimentation simulation platform
Kriging
multiple objective genetic algorithm
