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Minimum size control for binary topology optimization
Polytechnic School of the University of São Paulo, Brazil.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-9208-9123
Polytechnic School of the University of São Paulo, Brazil.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-8704-9584
2025 (English)In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 68, no 2, article id 34Article in journal (Refereed) Published
Abstract [en]

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. 

Place, publisher, year, edition, pages
Springer, 2025. Vol. 68, no 2, article id 34
Keywords [en]
Structural dynamics, Structural optimization, Topology, Binary design variable, Binary structures, Design variables, Length scale, Morphological operator, Scale control, Size-control, Topology optimisation, Topology optimization of binary structure method, Shape optimization
National Category
Computational Mathematics
Research subject
Mathematics
Identifiers
URN: urn:nbn:se:kau:diva-104042DOI: 10.1007/s00158-025-03975-3ISI: 001427658900001Scopus ID: 2-s2.0-85218424997OAI: oai:DiVA.org:kau-104042DiVA, id: diva2:1954592
Funder
Swedish Research Council, 2022-03783Karlstad UniversityAvailable from: 2025-04-25 Created: 2025-04-25 Last updated: 2025-04-25Bibliographically approved

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Setta, MarioWadbro, Eddie

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