Topology optimization for three‐dimensional elastoplastic architected materials using a path‐dependent adjoint method
This article introduces a computational design framework for obtaining three‐dimensional (3D) periodic elastoplastic architected materials with enhanced performance, subject to uniaxial or shear strain. A nonlinear finite element model accounting for plastic deformation is developed, where a Lagrang...
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Published in | International journal for numerical methods in engineering Vol. 122; no. 8; pp. 1889 - 1910 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
30.04.2021
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0029-5981 1097-0207 |
DOI | 10.1002/nme.6604 |
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Summary: | This article introduces a computational design framework for obtaining three‐dimensional (3D) periodic elastoplastic architected materials with enhanced performance, subject to uniaxial or shear strain. A nonlinear finite element model accounting for plastic deformation is developed, where a Lagrange multiplier approach is utilized to impose periodicity constraints. The analysis assumes that the material obeys a von Mises plasticity model with linear isotropic hardening. The finite element model is combined with a corresponding path‐dependent adjoint sensitivity formulation, which is derived analytically. The optimization problem is parametrized using the solid isotropic material penalization method. Designs are optimized for either end compliance or toughness for a given prescribed displacement. Such a framework results in producing materials with enhanced performance through much better utilization of an elastoplastic material. Several 3D examples are used to demonstrate the effectiveness of the mathematical framework. |
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Bibliography: | Funding information National Science Foundation (NSF) I/UCRC Center, IIP‐1362146; MOMS‐1926353; University of Illinois, University of Illinois at Urbana‐Champaign, Zhejiang University, National Science Foundation ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0029-5981 1097-0207 |
DOI: | 10.1002/nme.6604 |