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《山东大学学报(理学版)》 ›› 2026, Vol. 61 ›› Issue (6): 107-117.doi: 10.6040/j.issn.1671-9352.5.2025.071

• • 上一篇    

基于等几何分析的复杂部件智能优化设计方法

李宝军1,徐子昂1,祝雪峰2,魏思通3,张世林2   

  1. 1.大连理工大学机械工程学院, 辽宁 大连 116024;2.大连理工大学力学与航空航天学院, 辽宁 大连 116024;3.中国第一汽车集团有限公司研发总院, 吉林 长春 130000
  • 发布日期:2026-06-04
  • 作者简介:李宝军(1977— ),男,副教授,硕士生导师,博士,研究方向为智能优化设计、工业软件等. E-mail:bjli@dlut.edu.cn
  • 基金资助:
    国家重点研发计划项目(2021YFB3300600)

An intelligent optimization design method for complex components based on isogeometric analysis

LI Baojun1, XU Ziang1, ZHU Xuefeng2, WEI Sitong3, ZHANG Shilin2   

  1. 1. School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China;
    2. School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China;
    3. China FAW Group Corporation R&
    D Center, Changchun 130000, Jilin, China
  • Published:2026-06-04

摘要: 传统复杂部件的设计研发方法中存在CAD(computer-aided design)与CAE(computer-aided engineering)模型转换繁琐、自动化和智能化程度低、设计-仿真-优化方法协同性不足等问题,导致研发效率低下且成本增加。为此,本文基于等几何分析,提出针对复杂部件的智能优化设计方法,实现基于约束变体技术的等几何模型参数化修改与重用、多物理场下变体模型等几何分析仿真验证与力学性能预测优化。通过不同应用场景下的3种典型模型案例,验证参数化约束变体后等几何模型的拓扑一致性与可仿真性,以防撞梁等几何模型优化设计为例,通过可视化平台集成上述方法与求解器,验证数据与模型融合驱动的智能优化设计方法,提高复杂部件优化迭代效率与自主研发能力。

关键词: 等几何分析, 智能优化, 约束变体, 拓扑一致性, 集成设计

Abstract: Traditional design and development methods for complex components face challenges including CAD-CAE model conversion, low levels of automation and intelligence, and insufficient integration of the design-simulation-optimization workflow. These issues reduce R&D efficiency and drive up costs. Therefore, this paper proposes intelligent parametric-optimization design method for complex components based on isogeometric analysis(IGA). The method achieves parametric modification and reuse of IGA models through constraint morphing, simulation verification of IGA morphed models under multi-physics fields, and optimization of mechanical property predictions. Using three representative models across diverse application scenarios, we validated the topological consistency and suitability for simulation of geometric models after parametric constraint morphing. In a case study on the optimization of a collision-beam IGA model, integrating the proposed methods and solvers within a visualization platform demonstrates the effectiveness of an intelligent optimization approach driven by the fusion of data and models. This method enhances optimization iteration efficiency for complex components and strengthens independent research and development capabilities.

Key words: isogeometric analysis, intelligent optimization, constraint morphing, topological consistency, integration design

中图分类号: 

  • TP312
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