工程设计学报2025，Vol.32Issue(6)：735-744,10.DOI:10.3785/j.issn.1006-754X.2025.05.130
基于自适应Kriging代理模型的工程机械结构优化设计方法
Optimization design method for construction machinery structure based on adaptive Kriging surrogate model
摘要
Abstract
In view of the characteristics of high nonlinearity and high computational complexity in the optimization design of construction machinery,as well as the demand for high-fidelity and low-cost simulation models,an optimization design method for construction machinery structure based on an adaptive Kriging surrogate model was proposed.Firstly,the design variable sample space of the construction machinery structure was partitioned using the Voronoi diagram method.The global sparsity index(GSI)of the sample points was defined to identify subspaces requiring node-adding,and global points were generated within these subspaces using the max-min criterion.Next,local node-adding subspaces were identified based on the potential optimal parameters,and local points were generated accordingly.Finally,by integrating a local refinement strategy,the generated global points,local points and potential optimal solutions were filtered and incorporated into the sample set to update the surrogate model,thereby improving the fitting accuracy of the surrogate model.It was applied to the surrogate model construction phase in the construction machinery structure optimization design to significantly shorten the computational time for traditional high-fidelity model simulation and improve the efficiency of the optimization design.The numerical example verifications and engineering application results demonstrated that,compared with the existing methods,the proposed method achieved faster convergence within an acceptable error range under the same node-adding number.In the lightweight design of the upper structure of the arm-type bucket wheel reclaimer and the front boom structure of the tower crane,after only one iteration,the maximum relative errors of the optimal solution were reduced to 0.09%and 0.59%respectively.The proposed method is feasible and effective in the structural optimization design of construction machinery.关键词
自适应代理模型/工程机械结构/优化设计/泰森多边形/遗传算法Key words
adaptive surrogate model/construction machinery structure/optimization design/Voronoi diagram/genetic algorithm分类
机械制造引用本文复制引用
刘鑫,吴青锋,杨文广..基于自适应Kriging代理模型的工程机械结构优化设计方法[J].工程设计学报,2025,32(6):735-744,10.基金项目
国家自然科学基金资助项目(52275235) （52275235）
湖南省杰出青年科学基金资助项目(2021JJ10040) （2021JJ10040）
长沙理工大学研究生科研创新项目(CSLGCX23047) （CSLGCX23047）
