An M-VCUT level set-based data-driven model of microstructures and optimization of two-scale structures  

作　　者：Minjie SHAO Tielin SHI Qi XIA 

机构地区：[1]State Key Laboratory of Intelligent Manufacturing Equipment and Technology,Huazhong University of Science and Technology,Wuhan 430074,China

出　　处：《Frontiers of Mechanical Engineering》2024年第4期73-86,共14页机械工程前沿（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.12272144).

摘　　要：The optimization of two-scale structures can adapt to the different needs of materials in various regions by reasonably arranging different microstructures at the macro scale,thereby considerably improving structural performance.Here,a multiple variable cutting(M-VCUT)level set-based data-driven model of microstructures is presented,and a method based on this model is proposed for the optimal design of two-scale structures.The geometry of the microstructure is described using the M-VCUT level set method,and the effective mechanical properties of microstructures are computed by the homogenization method.Then,a database of microstructures containing their geometric and mechanical parameters is constructed.The two sets of parameters are adopted as input and output datasets,and a mapping relationship between the two datasets is established to build the data-driven model of microstructures.During the optimization of two-scale structures,the data-driven model is used for macroscale finite element and sensitivity analyses.The efficiency of the analysis and optimization of two-scale structures is improved because the computational costs of invoking such a data-driven model are much smaller than those of homogenization.

关 键 词：two-scale structure structural optimization M-VCUT level set HOMOGENIZATION radial basis function DATA-DRIVEN 

分 类 号：TG50[金属学及工艺—金属切削加工及机床]