Minimum size control for binary topology optimization

Abstract Topology optimization methods employing binary (also known as discrete) design variables currently lack mathematical formulations to ensure length scale control in their solutions. This paper proposes and applies a morphology-mimicking filtering scheme to provide a minimum size control (often also referred to as minimum length scale control) in this class of binary designs. The Topology Optimization of Binary Structures (TOBS) method was chosen as the foundational framework for this length scale control study. Thermal and structural compliance scenarios were explored under this approach. Numerical results show that the proposed filter efficiently imposes the desired minimum length scale. The optimized designs were also less dependent on the filtering parameters when compared to designs optimized using standard techniques that employ continuous design variables.

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Institutions

Publication Details

Journal
Structural and Multidisciplinary Optimization
Published
2025-02-01
DOI
https://doi.org/10.1007/s00158-025-03975-3
Citations
2
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
1.91

Funders

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article

Minimum size control for binary topology optimization

Renato Picelli, Eddie Wadbro, Mario Setta, Rômulo L. Cortez
2 citations
Structural and Multidisciplinary Optimization
Topology Optimization in Engineering
1.91
article

Minimum size control for binary topology optimization

Renato Picelli, Eddie Wadbro, Mario Setta, Rômulo L. Cortez
article en
2 citations

Abstract

Abstract Topology optimization methods employing binary (also known as discrete) design variables currently lack mathematical formulations to ensure length scale control in their solutions. This paper proposes and applies a morphology-mimicking filtering scheme to provide a minimum size control (often also referred to as minimum length scale control) in this class of binary designs. The Topology Optimization of Binary Structures (TOBS) method was chosen as the foundational framework for this length scale control study. Thermal and structural compliance scenarios were explored under this approach. Numerical results show that the proposed filter efficiently imposes the desired minimum length scale. The optimized designs were also less dependent on the filtering parameters when compared to designs optimized using standard techniques that employ continuous design variables.

Structural and Multidisciplinary OptimizationVol. 68(2)
Universidade de São Paulo (BR), Karlstad University (SE)
Karlstads universitet, Swedish Foundation for International Cooperation in Research and Higher Education, Fundação de Amparo à Pesquisa do Estado de São Paulo, Vetenskapsrådet
Openalex Percentile: Top 17%
Topology Optimization in Engineering
1.91
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