Virtual Elements for computational anisotropic crystal plasticity

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Christoph Böhm
  • Lukas Munk
  • Blaž Hudobivnik
  • Fadi Aldakheel
  • Jože Korelc
  • Peter Wriggers

Organisationseinheiten

Externe Organisationen

  • Technische Universität Dresden
  • Swansea University
  • University of Ljubljana
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Details

OriginalspracheEnglisch
Aufsatznummer115835
FachzeitschriftComputer Methods in Applied Mechanics and Engineering
Jahrgang405
Frühes Online-Datum22 Dez. 2022
PublikationsstatusVeröffentlicht - 15 Feb. 2023

Abstract

In this contribution, the Virtual Element Method (VEM) with a linear ansatz is applied to a computational crystal plasticity framework in a micro-structural environment. Furthermore, a simple anisotropic energetic contribution, based on invariant-formulations of tensorial deformation measures and structural tensors, is presented for the cubic elastic anisotropy of the underlying crystal structure. The anisotropic elastic formulation recovers the elasticity tensor structure of a cubic material in the limit of small deformations. The authors propose a new stabilization degradation formulation which is purely based on the dissipative response of the problem. Representative examples illustrate the robustness and performance of VEM with regard to locking phenomena in the crystal plasticity framework, when bench-marked against the solutions of classical finite element approaches. Further examples investigate the performance and current limitations of VEM within a crystal plasticity framework, when being applied to heterogeneous microstructures for both, structured element topology as well as flexible element topology.

ASJC Scopus Sachgebiete

Zitieren

Virtual Elements for computational anisotropic crystal plasticity. / Böhm, Christoph; Munk, Lukas; Hudobivnik, Blaž et al.
in: Computer Methods in Applied Mechanics and Engineering, Jahrgang 405, 115835, 15.02.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Böhm C, Munk L, Hudobivnik B, Aldakheel F, Korelc J, Wriggers P. Virtual Elements for computational anisotropic crystal plasticity. Computer Methods in Applied Mechanics and Engineering. 2023 Feb 15;405:115835. Epub 2022 Dez 22. doi: 10.1016/j.cma.2022.115835
Böhm, Christoph ; Munk, Lukas ; Hudobivnik, Blaž et al. / Virtual Elements for computational anisotropic crystal plasticity. in: Computer Methods in Applied Mechanics and Engineering. 2023 ; Jahrgang 405.
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abstract = "In this contribution, the Virtual Element Method (VEM) with a linear ansatz is applied to a computational crystal plasticity framework in a micro-structural environment. Furthermore, a simple anisotropic energetic contribution, based on invariant-formulations of tensorial deformation measures and structural tensors, is presented for the cubic elastic anisotropy of the underlying crystal structure. The anisotropic elastic formulation recovers the elasticity tensor structure of a cubic material in the limit of small deformations. The authors propose a new stabilization degradation formulation which is purely based on the dissipative response of the problem. Representative examples illustrate the robustness and performance of VEM with regard to locking phenomena in the crystal plasticity framework, when bench-marked against the solutions of classical finite element approaches. Further examples investigate the performance and current limitations of VEM within a crystal plasticity framework, when being applied to heterogeneous microstructures for both, structured element topology as well as flexible element topology.",
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AU - Wriggers, Peter

N1 - Funding Information: CB, FA and PW gratefully acknowledge the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) for financial support to this work with the Collaborative Research Centre 1153 (CRC 1153) “Process chain for the production of hybrid high-performance components through tailored forming” with the subproject C4 “Modelling and Simulation of the Joining Zone”, project number 252662854 . LM and PW thank for financial support of this study by the German research foundation (DFG, Deutsche Forschungsgemeinschaft) under contract WR19/57-1 . BH and PW gratefully acknowledge financial support to this work by the German Research Foundation (DFG) with the cluster of excellence PhoenixD (EXC 2122, Project ID 390833453 ). This work was supported by the compute cluster, which is funded by the Leibniz Universität Hannover, Germany , the Lower Saxony Ministry of Science and Culture (MWK), Germany and the German Research Association (DFG) .

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