Note on spatial gradient operators and gradient-based minimum length constraints in SIMP topology optimization

被引:24
作者
Yang, Kaike [1 ]
Fernandez, Eduardo [2 ]
Niu, Cao [1 ]
Duysinx, Pierre [2 ]
Zhu, Jihong [1 ,3 ,4 ]
Zhang, Weihong [1 ]
机构
[1] Northwestern Polytech Univ, Sch Mech Engn, State IJR Ctr Aerosp Design & Addit Mfg, Xian 710072, Shaanxi, Peoples R China
[2] Univ Liege, LTAS Automot Engn, Allee Decouverte 13A,Bat B52, B-4000 Liege, Belgium
[3] Northwestern Polytech Univ, MIIT Lab Met Addit Mfg & Innovat Design, Xian 710072, Shaanxi, Peoples R China
[4] Northwestern Polytech Univ, Inst Intelligence Mat & Struct, Unmanned Syst Technol, Xian 710072, Shaanxi, Peoples R China
关键词
Spatial gradient operators; Structural indicator functions; Minimum length constraints; SCALE;
D O I
10.1007/s00158-019-02269-9
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Spatial gradient information of density field in SIMP (solid isotropic material with penalization) topology optimization is very useful for imposing overhang angle and minimum length (size) manufacturing constraints or achieving shell-infill optimization. However, the computation of density gradient is an approximation since the design space is discretized. There are several operators for this purpose, which arise from the image processing field. This note compares different gradient operators in the context of SIMP topology optimization method and suggests a new computation strategy to improve the accuracy of gradient estimation. We take a case study of spatial gradient-based minimum size constraints. New structural indicator functions are proposed to improve the general applicability of previous gradient-based minimum length constraints. This study is carried out in 2D structure examples to validate the methodology.
引用
收藏
页码:393 / 400
页数:8
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