A comparative review of peridynamics and phase-field models for engineering fracture mechanics

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Diehl, P.; Lipton, R.; Wick, T.; Tyagi, M.: A comparative review of peridynamics and phase-field models for engineering fracture mechanics. In: Computational mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity 69 (2022), Nr. 6, S. 1259-1293. DOI: https://doi.org/10.1007/s00466-022-02147-0

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Sum total of downloads: 144




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Abstract: 
Computational modeling of the initiation and propagation of complex fracture is central to the discipline of engineering fracture mechanics. This review focuses on two promising approaches: phase-field (PF) and peridynamic (PD) models applied to this class of problems. The basic concepts consisting of constitutive models, failure criteria, discretization schemes, and numerical analysis are briefly summarized for both models. Validation against experimental data is essential for all computational methods to demonstrate predictive accuracy. To that end, the Sandia Fracture Challenge and similar experimental data sets where both models could be benchmarked against are showcased. Emphasis is made to converge on common metrics for the evaluation of these two fracture modeling approaches. Both PD and PF models are assessed in terms of their computational effort and predictive capabilities, with their relative advantages and challenges are summarized. © 2022, The Author(s).
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 79 54.86%
2 image of flag of United States United States 18 12.50%
3 image of flag of Czech Republic Czech Republic 7 4.86%
4 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 6 4.17%
5 image of flag of China China 6 4.17%
6 image of flag of Netherlands Netherlands 3 2.08%
7 image of flag of Korea, Republic of Korea, Republic of 3 2.08%
8 image of flag of Peru Peru 2 1.39%
9 image of flag of Italy Italy 2 1.39%
10 image of flag of India India 2 1.39%
    other countries 16 11.11%

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