Topology optimization for designing periodic microstructures based on finite strain viscoplasticity

Ivarsson, Niklas; Wallin, Mathias; Tortorelli, Daniel A.

doi:10.1007/s00158-020-02555-x

Title: Topology optimization for designing periodic microstructures based on finite strain viscoplasticity

Journal Article · Thu May 28 00:00:00 EDT 2020 · Structural and Multidisciplinary Optimization

DOI:https://doi.org/10.1007/s00158-020-02555-x· OSTI ID:1631072

Ivarsson, Niklas; Wallin, Mathias; Tortorelli, Daniel A.

This paper presents a topology optimization framework for designing periodic viscoplastic microstructures under finite deformation. To demonstrate the framework, microstructures with tailored macroscopic mechanical properties, e.g., maximum viscoplastic energy absorption and prescribed zero contraction, are designed. The simulated macroscopic properties are obtained via homogenization wherein the unit cell constitutive model is based on finite strain isotropic hardening viscoplasticity. To solve the coupled equilibrium and constitutive equations, a nested Newton method is used together with an adaptive time-stepping scheme. A well-posed topology optimization problem is formulated by restriction using filtration which is implemented via a periodic version of the Helmholtz partial differential equation filter. The optimization problem is iteratively solved with the method of moving asymptotes, where the path-dependent sensitivities are derived using the adjoint method. The applicability of the framework is demonstrated by optimizing several two-dimensional continuum composites exposed to a wide range of macroscopic strains.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); Swedish Research Council (SRC); Swedish Energy Agency

Grant/Contract Number:: AC52-07NA27344; 2015-05134; 48344-1

OSTI ID:: 1631072

Alternate ID(s):: OSTI ID: 1738897

Report Number(s):: LLNL-JRNL-815163; PII: 2555

Journal Information:: Structural and Multidisciplinary Optimization, Journal Name: Structural and Multidisciplinary Optimization Vol. 61 Journal Issue: 6; ISSN 1615-147X

Publisher:: SpringerCopyright Statement

Country of Publication:: Germany

Language:: English

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Cited by: 11 works

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