Efficient and robust numerical treatment of a gradient-enhanced damage model at large deformations

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Junker, P.; Riesselmann, J.; Balzani, D.: Efficient and robust numerical treatment of a gradient-enhanced damage model at large deformations. In: International Journal for Numerical Methods in Engineering 123 (2022), Nr. 3, S. 774-793. DOI: https://doi.org/10.1002/nme.6876

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Abstract: 
The modeling of damage processes in materials constitutes an ill-posed mathematical problem which manifests in mesh-dependent finite element results. The loss of ellipticity of the discrete system of equations is counteracted by regularization schemes of which the gradient enhancement of the strain energy density is often used. In this contribution, we present an extension of the efficient numerical treatment, which has been proposed by Junker et al. in 2019, to materials that are subjected to large deformations. Along with the model derivation, we present a technique for element erosion in the case of severely damaged materials. Efficiency and robustness of our approach is demonstrated by two numerical examples including snapback and springback phenomena. © 2021 The Authors. International Journal for Numerical Methods in Engineering published by John Wiley & Sons Ltd.
License of this version: CC BY-NC 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Maschinenbau

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1 image of flag of Germany Germany 62 59.62%
2 image of flag of United States United States 16 15.38%
3 image of flag of China China 6 5.77%
4 image of flag of France France 5 4.81%
5 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 2.88%
6 image of flag of United Arab Emirates United Arab Emirates 2 1.92%
7 image of flag of Greece Greece 1 0.96%
8 image of flag of Spain Spain 1 0.96%
9 image of flag of Czech Republic Czech Republic 1 0.96%
10 image of flag of Canada Canada 1 0.96%
    other countries 6 5.77%

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