中国机械工程 ›› 2024, Vol. 35 ›› Issue (05): 904-915,927.DOI: 10.3969/j.issn.1004-132X.2024.05.016

• 机械基础工程 • 上一篇    下一篇

基于改进四叉树和比例边界有限元法的自适应设计域拓扑优化方法

王浩1,2;王江北3;罗浩东3;王立文4


  

  1. 1.中国民航大学安全科学与工程学院,天津,300300
    2.中国民航大学工程技术训练中心,天津,300300
    3.中国民航大学航空工程学院,天津,300300
    4.中国民航大学科技创新研究院,天津,30030
  • 出版日期:2024-05-25 发布日期:2024-06-26
  • 作者简介:王浩,男,1985年生,副教授。研究方向为航空发动机部件智慧检测与维修、航空维修计划调度优化和工程管理。E-mail:wanghao@cauc. edu. cn。
  • 基金资助:
    国家自然科学基金民航联合研究基金重点项目(U2133202);四川省重大科技专项(2021ZDZX0001);中国民航大学研究生科研创新项目(2022YJS058)

An Adaptive Design Domain Topology Optimization Method Based on Improved Quadtree and SBFEM

WANG Hao1,2;WANG Jiangbei3;LUO Haodong3;WANG Liwen4   

  1. 1.College of Safety Science and Engineering,Civil Aviation University of China,Tianjin,300300
    2.Engineering Techniques Training Center,Civil Aviation University of China,Tianjin,300300
    3.College of Aeronautical Engineering,Civil Aviation University of China,Tianjin,300300
    4.Institute of Science and Technology lnnovation,Civil Aviation University of China,Tianjin,300300

  • Online:2024-05-25 Published:2024-06-26

摘要: 针对大型结构拓扑优化计算成本高和固体各向同性材料惩罚模型(SIMP)在优化后结构边界处求解精度低的问题,提出了一种基于SIMP法的自适应设计域(ADD)拓扑优化方法。将改进四叉树法应用在拓扑优化的过程中,通过自动划分不同等级的网格单元来减少网格数量、减轻计算负担并提高边界处求解精度;采用比例边界有限元法(SBFEM)实时计算划分后结构的有限元信息,解决了不同等级网格间悬挂节点的问题。所提方法可在初始网格相对较少的情况下得到更加精确的结果,大幅度地降低了计算成本。数值算例结果表明,所提方法在最终结构边界处精度相同的情况下,计算时间最快可缩短为原来的1/100,可以为后续降低大型结构拓扑优化的计算成本提供参考。

关键词: 拓扑优化, 改进四叉树法, 比例边界有限元法, 网格自适应

Abstract: Aiming at the problems of high computational cost of large-scale structure topology optimization and low solving accuracy of solid isotropic material with penalization(SIMP) at the optimized structure boundary, an adaptive design domain(ADD) topology optimization method was proposed based on SIMP. The improved quadtree method was applied in the processes of topology optimization to reduce the computational burden and improve the solution accuracy at the boundaries through different levels of grid cell. The SBFEM was used to calculate the finite element information of the partitioned structures in real-time, solving the problem of hanging nodes between different level cells. The proposed method might obtain more accurate results with fewer initial grids and significantly reduce the computational cost. Numerical example results demonstrate that, with the same final structural boundary accuracy, the proposed method may reduce the computation time to 1/100 of the original at most, offering a reference for reducing the computational cost of large-scale structural topology optimization in subsequent processes.

Key words: topology optimization, improved quadtree method, scaled boundary finite element method(SBFEM), grid adaptation

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