Inverse design of periodic microstructures with targeted nonlinear mechanical behaviour
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Published version
Author(s)
Thillaithevan, Dilaksan
Murphy, Ryan
Hewson, Robert
Santer, matthew
Type
Journal Article
Abstract
This paper introduces an inverse design framework for the precise tailoring of desired nonlinear
mechanical responses in periodic microstructures, with particular focus on prescribed nonlinear stress strain relationships. The topology optimization hinges on minimizing the error between the target and
realized properties of the microstructures. A deformation-driven homogenization framework is setup.
The periodic constraints needed for the microscale equilibrium equation are imposed through strongly
enforced periodic boundary conditions and the removal of the translational nullspace, avoiding the need
for Lagrange multipliers, greatly simplifying the implementation. Automatic differentiation is leveraged
to efficiently calculate the necessary sensitivities for the gradient-based optimization. To further aid the
design of discrete designs a intermediate density penalty constraint is proposed. Numerical examples
underscore the efficacy of our methodology, showcasing microstructures that demonstrate targeted
softening and stiffening as well as distinctive directional behaviour.
mechanical responses in periodic microstructures, with particular focus on prescribed nonlinear stress strain relationships. The topology optimization hinges on minimizing the error between the target and
realized properties of the microstructures. A deformation-driven homogenization framework is setup.
The periodic constraints needed for the microscale equilibrium equation are imposed through strongly
enforced periodic boundary conditions and the removal of the translational nullspace, avoiding the need
for Lagrange multipliers, greatly simplifying the implementation. Automatic differentiation is leveraged
to efficiently calculate the necessary sensitivities for the gradient-based optimization. To further aid the
design of discrete designs a intermediate density penalty constraint is proposed. Numerical examples
underscore the efficacy of our methodology, showcasing microstructures that demonstrate targeted
softening and stiffening as well as distinctive directional behaviour.
Date Issued
2024-03-18
Date Acceptance
2024-02-02
Citation
Structural and Multidisciplinary Optimization: computer-aided optimal design of stressed solids and multidisciplinary systems, 2024, 67
ISSN
1615-147X
Publisher
Springer
Journal / Book Title
Structural and Multidisciplinary Optimization: computer-aided optimal design of stressed solids and multidisciplinary systems
Volume
67
Copyright Statement
© The Author(s) 2024
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://link.springer.com/article/10.1007/s00158-024-03761-7
Publication Status
Published
Article Number
55
Date Publish Online
2024-03-18