期刊
ENGINEERING OPTIMIZATION
卷 54, 期 1, 页码 40-60出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2020.1853713
关键词
Multi-resolution framework; high-resolution model; large-scale model; stiffness maximization; stress minimization; XFEM
资金
- China Scholarship Council [201806130085]
- National Natural Science Foundation ofChina [11672104, 11902085]
- National Natural Science Foundation of China [11832009]
- Chair Professor of Lotus Scholars Program in Hunan province [XJT2015408]
This article presents a MTOP approach based on the SIMP method, which can achieve high-resolution designs at low computational cost. The XFEM method is used to decouple the analysis mesh, material description, and nodal design variables, allowing for the generation of detailed geometrical features. By introducing a variation of the traditional sensitivity filter, a clear interface between material grids is obtained.
This article develops a multi-resolution topology optimization (MTOP) approach based on the solid isotropic material with penalization (SIMP) method, which is effective in obtaining high-resolution designs at low computational cost. The extended finite element method (XFEM) is employed to decouple the analysis mesh, material description and nodal design variables. By the advantage of XFEM at modelling material discontinuity, detailed geometrical features are generated on a coarse analysis mesh. To obtain a clear interface between material grids, a variation of the traditional sensitivity filter is introduced to produce discrete solutions. The low computational costs make the proposed approach appropriate for dealing with problems requiring a high number of finite element analysis (FEA) processes, typically high-resolution/large-scale models, stress minimization, etc. Accurate von Mises stress is calculated on a high number of Gaussian points, making the approach perform better at stress minimization. Then, several 2D and 3D examples optimized by different solvers are illustrated to demonstrate the effectiveness and excellent generality of the proposed approach.
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