Buckling optimization of variable-stiffness composites with multiple cutouts considering manufacturing constraints

被引:10
作者
Ding, Haoqing [1 ]
Xu, Bin [1 ]
Song, Liang [1 ]
Li, Weibai [2 ]
Huang, Xiaodong [2 ]
机构
[1] Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Xian 710072, Peoples R China
[2] Swinburne Univ Technol, Sch Engn, Hawthorn, Vic 3122, Australia
基金
中国国家自然科学基金;
关键词
Buckling optimization; Variable; -stiffness; Radial basis function; Manufacturing constraints; Cutout; TOPOLOGY OPTIMIZATION; ISOGEOMETRIC ANALYSIS; DESIGN OPTIMIZATION; CONICAL SHELLS; FIBER PATH; FRAMEWORK; EFFICIENT; PANELS; LAMINATE; INPLANE;
D O I
10.1016/j.advengsoft.2022.103303
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The progress of the automatic fiber placement (AFP) technique makes it viable to fabricate variable-stiffness (VS) composites with curvilinear fiber paths and promotes the rise of the VS composite design. However, traditional representation methods of fiber paths are not flexible for composites with cutouts and are also inconvenient to cooperate with the gradient-based solver. In this study, a parameterized angle variable scheme (PAVS) by the compactly supported radial basis functions (CS-RBFs) is proposed to represent the continuous fiber paths so that manufacturing constraints including minimal turning radius and gap/overlap can be conveniently related to the curl operation and divergence of the fiber angle vector field. A level set representation method of fiber paths is also provided for comparison. Two buckling optimization frameworks of the VS composite considering manufacturing constraints are then proposed based on these two representation methods. Numerical examples of two square plates with cutouts are conducted. Different numbers of support points, support radii, manufacturing constraints, and initial designs are investigated. Results indicate that the proposed PAVS needs few support points and a small support radius. It can also set initial design easily and describe the manufacturing constraints directly and quantitively.
引用
收藏
页数:20
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