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タイトル: Topology optimization for nonlocal elastoplasticity at finite strain
著者: Han, Jike  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-7535-7202 (unconfirmed)
Furuta, Kozo  kyouindb  KAKEN_id
Kondoh, Tsuguo
Izui, Kazuhiro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-8875-7758 (unconfirmed)
Nishiwaki, Shinji  kyouindb  KAKEN_id
Terada, Kenjiro
著者名の別形: 韓, 霽珂
古田, 幸三
近藤, 継男
泉井, 一浩
西脇, 眞二
キーワード: Topology optimization
Plasticity
Nonlocal approach
Adjoint method
Finite strain
発行日: 15-Feb-2025
出版者: Elsevier BV
誌名: Computer Methods in Applied Mechanics and Engineering
巻: 435
論文番号: 117678
抄録: This study is dedicated to the formulation of finite strain nonlocal elastoplastic topology optimization. In the primal problem, we employ the standard hyperelastic constitutive law and the Voce hardening laws to describe the elastoplastic response, the latter of which is enhanced by the micromorphic regularization to address the mesh-dependent issue of the finite element method or mesh-based methods. For the optimization problem, the objective function accommodates multiple objectives by writing it as the summation of several sub-functions. The continuous adjoint method is adopted for formulating the adjoint problem; therefore, the corresponding governing equations are written in a continuous manner, like the primal problem. Thus, these equations are independent of employed discretization methods and can be implemented into various simulation methodologies. In addition, the derived sensitivity is substituted into the reaction–diffusion equation to realize the update of the design variable. Both single-material (ersatz and genuine materials) and two-material (matrix and inclusion materials) topology optimizations are presented to demonstrate the promise and performance of the formulation. In particular, we discuss what values of material parameters should be given to the ersatz material, how the material nonlinearity affects the optimization result, and how the optimization trend alters by giving different values of weights of the objective function.
著作権等: © 2024 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license.
URI: http://hdl.handle.net/2433/291663
DOI(出版社版): 10.1016/j.cma.2024.117678
出現コレクション:学術雑誌掲載論文等

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