Moving Morphable Components Using Strain-Based Beam Geometry Description for Topology Optimization

In the moving-morphable-component topology optimization, morphable components are introduced as a geometrical model mapped onto the background finite elements, and their shape parameters are utilized as design variables for topology optimization. Whereas a complex curved geometry ensuring [Formula: see text] continuity can be generated using existing curved components, the component curvatures cannot be selected as design variables in the existing methods; thus geometric constraints associated with curvatures cannot also be directly imposed. To address this issue, this study proposes a curvature-based morphable component by introducing the curvilinear geometry representation in the strain-based beam formulation. Since the proposed component is parameterized by curvatures using the curvilinear equation, the component curvatures can be utilized as the design variables. This allows for directly imposing curvature constraints on structural members, thereby accounting for the manufacturability of an optimal topology. It is demonstrated that a symmetric placement of the design variables using the midpoint curvilinear coordinate system is critical in ensuring convergence of the proposed curvature-based component optimization. The symmetric curvature component is further extended to account for multiple curvatures within a single component while ensuring [Formula: see text] continuity. Several examples are presented to demonstrate the benefits of the proposed multicurvature component for topology optimization.

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Publication Details

Journal
AIAA Journal
Published
2024-10-07
DOI
https://doi.org/10.2514/1.j064272
Citations
1
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.26

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Moving Morphable Components Using Strain-Based Beam Geometry Description for Topology Optimization

Kanjuro Makihara, Keisuke Otsuka, Hiroyuki Sugiyama, Ryo Kuzuno et al.
1 citations
AIAA Journal
Topology Optimization in Engineering
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article

Moving Morphable Components Using Strain-Based Beam Geometry Description for Topology Optimization

Kanjuro Makihara, Keisuke Otsuka, Hiroyuki Sugiyama, Ryo Kuzuno, Shuonan Dong, Hiroki Yamashita
article en
1 citations

Abstract

In the moving-morphable-component topology optimization, morphable components are introduced as a geometrical model mapped onto the background finite elements, and their shape parameters are utilized as design variables for topology optimization. Whereas a complex curved geometry ensuring [Formula: see text] continuity can be generated using existing curved components, the component curvatures cannot be selected as design variables in the existing methods; thus geometric constraints associated with curvatures cannot also be directly imposed. To address this issue, this study proposes a curvature-based morphable component by introducing the curvilinear geometry representation in the strain-based beam formulation. Since the proposed component is parameterized by curvatures using the curvilinear equation, the component curvatures can be utilized as the design variables. This allows for directly imposing curvature constraints on structural members, thereby accounting for the manufacturability of an optimal topology. It is demonstrated that a symmetric placement of the design variables using the midpoint curvilinear coordinate system is critical in ensuring convergence of the proposed curvature-based component optimization. The symmetric curvature component is further extended to account for multiple curvatures within a single component while ensuring [Formula: see text] continuity. Several examples are presented to demonstrate the benefits of the proposed multicurvature component for topology optimization.

AIAA JournalVol. 62(12)
University of Iowa (US), Tohoku University (JP)
Ebara Hatakeyama Memorial Foundation, Mazak Foundation, Japan Society for the Promotion of Science
Sustainable cities and communities
Openalex Percentile: Top 44%
Topology Optimization in Engineering
0.26
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