中南大学学报(自然科学版)2024,Vol.55Issue(5):2048-2060,13.DOI:10.11817/j.issn.1672-7207.2024.05.034
自动化建模与优化平台开发及其在切削吸能结构的应用
Development of an automated modeling and optimization platform and its application for cutting-type energy absorption structures
摘要
Abstract
Traditional optimization design is constrained by issues such as geometric parameterization and the generation of hexahedral elements,resulting in cumbersome processes and low efficiency.In order to standardize the development process and improve the efficiency of optimization design,the automated modeling and optimization platform based on the multi-objective optimization(MOO)system was built,which integrated modules such as geometry,finite element modeling,data processing,and surrogate optimization.The automated modeling module based on CAE was constructed with feature sections and mapping paths using cubic spline functions to achieve automatic geometric parameterization modeling.Furthermore,based on the sweep method and model decomposition method,an automated hexahedral mesh generation method based on the multi-section sweep method was proposed.Additionally,in the conventional optimization process based on surrogate models,automation was achieved from numerical calculation results extraction to surrogate optimization through data transformation and processing algorithms.The results show that the platform can establish finite element models with small geometric errors and high-quality elements.Overall,structural crashworthiness indicators are improved to a certain extent,significantly enhancing the efficiency of the optimization workflow.关键词
优化平台/几何参数化建模/六面体网格生成/切削吸能结构/被动安全Key words
optimization platform/geometric parameterization modeling/hexahedral mesh generation/cutting-type energy absorption structure/passive safety分类
交通工程引用本文复制引用
王晖,田凯,高乾宸,王明猛,郝伟江,王晋乐,朱涛..自动化建模与优化平台开发及其在切削吸能结构的应用[J].中南大学学报(自然科学版),2024,55(5):2048-2060,13.基金项目
国家自然科学基金资助项目(52172409) (52172409)
四川省杰出青年基金资助项目(2022JDJQ0025)(Project(52172409)supported by the National Natural Science Foundation of China (2022JDJQ0025)
Project(2022JDJQ0025)supported by the Outstanding Youth Fund of Sichan Province) (2022JDJQ0025)