TY - JOUR
T1 - A unified approach for topology optimization with local stress constraints considering various failure criteria
T2 - Von Mises, Drucker-Prager, Tresca, Mohr-Coulomb, Bresler- Pister and Willam-Warnke
AU - Giraldo-Londoño, Oliver
AU - Paulino, Glaucio H.
N1 - Funding Information:
Data accessibility. The online version of this article contains electronic supplementary material, which is available to authorized users. Authors’ contributions. G.H.P. designed the research. O.G.-L. and G.H.P conceived the mathematical models, interpreted computational results, analysed data and wrote the paper. O.G.-L. implemented the formulation and performed the simulations. All authors gave their final approval for publication. Competing interests. We declare we have no competing interests. Funding. This work was supported by the US National Science Foundation (NSF) under grant no. 1663244 and by the endowment provided by the Raymond Allen Jones Chair at the Georgia Institute of Technology. Disclaimer. The information provided in this paper as well as the interpretation of the results is solely that by the authors, and it does not necessarily reflect the views of the sponsors or sponsoring agencies.
Publisher Copyright:
© 2020 The Author(s).
PY - 2020
Y1 - 2020
N2 - An interesting, yet challenging problem in topology optimization consists of finding the lightest structure that is able to withstand a given set of applied loads without experiencing local material failure. Most studies consider material failure via the von Mises criterion, which is designed for ductile materials. To extend the range of applications to structures made of a variety of different materials, we introduce a unified yield function that is able to represent several classical failure criteria including von Mises, Drucker-Prager, Tresca, Mohr-Coulomb, Bresler-Pister and Willam-Warnke, and use it to solve topology optimization problems with local stress constraints. The unified yield function not only represents the classical criteria, but also provides a smooth representation of the Tresca and the Mohr-Coulomb criteria - an attribute that is desired when using gradient-based optimization algorithms. The present framework has been built so that it can be extended to failure criteria other than the ones addressed in this investigation. We present numerical examples to illustrate how the unified yield function can be used to obtain different designs, under prescribed loading or design-dependent loading (e.g. self-weight), depending on the chosen failure criterion.
AB - An interesting, yet challenging problem in topology optimization consists of finding the lightest structure that is able to withstand a given set of applied loads without experiencing local material failure. Most studies consider material failure via the von Mises criterion, which is designed for ductile materials. To extend the range of applications to structures made of a variety of different materials, we introduce a unified yield function that is able to represent several classical failure criteria including von Mises, Drucker-Prager, Tresca, Mohr-Coulomb, Bresler-Pister and Willam-Warnke, and use it to solve topology optimization problems with local stress constraints. The unified yield function not only represents the classical criteria, but also provides a smooth representation of the Tresca and the Mohr-Coulomb criteria - an attribute that is desired when using gradient-based optimization algorithms. The present framework has been built so that it can be extended to failure criteria other than the ones addressed in this investigation. We present numerical examples to illustrate how the unified yield function can be used to obtain different designs, under prescribed loading or design-dependent loading (e.g. self-weight), depending on the chosen failure criterion.
KW - augmented Lagrangian
KW - material failure
KW - stress constraints
KW - topology optimization
KW - yield surface
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U2 - 10.1098/rspa.2019.0861
DO - 10.1098/rspa.2019.0861
M3 - Article
C2 - 32831586
AN - SCOPUS:85092323698
SN - 0950-1207
VL - 476
JO - PROC. R. SOC. - A.
JF - PROC. R. SOC. - A.
IS - 2238
M1 - 20190861
ER -