A robust potential-based contact force solution approach for discontinuous deformation analysis of irregular convex polygonal block/particle systems

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Zheng, F.; Zhuang, X.; Zheng, H.; Jiao, Y.-Y.; Rabczuk, T.: A robust potential-based contact force solution approach for discontinuous deformation analysis of irregular convex polygonal block/particle systems. In: Acta Geotechnica 16 (2021), S. 679-697. DOI: https://doi.org/10.1007/s11440-020-00997-7

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/10993

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Sum total of downloads: 86




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Abstract: 
Contact interaction of two bodies can be modeled using the penalty function approach while its accuracy and robustness are directly associated with the geometry of contact bodies. Particularly, in the research fields of rock mechanics, we need to treat polygonal shapes such as mineral grains/particles at a mesoscale and rock blocks at a macroscale. The irregular shapes (e.g., polygons with small angles or small edges) pose challenges to traditional contact solution approach in terms of algorithmic robustness and complexity. This paper proposed a robust potential-based penalty function approach to solve contact of polygonal particles/block. An improved potential function is proposed considering irregular polygonal shapes. A contact detection procedure based on the entrance block concept is presented, followed by a numerical integral algorithm to compute the contact force. The proposed contact detection approach is implemented into discontinuous deformation analysis with an explicit formulation. The accuracy and robustness of the proposed contact detection approach are verified by benchmarking examples. The potential of the proposed approach in analysis of kinetic behavior of complex polygonal block systems is shown by two application examples. It can be applied in any discontinuous computation models using stepwise contact force-based solution procedures. © 2020, The Author(s).
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of United States United States 25 29.07%
2 image of flag of Germany Germany 24 27.91%
3 image of flag of No geo information available No geo information available 10 11.63%
4 image of flag of China China 10 11.63%
5 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 3.49%
6 image of flag of South Africa South Africa 2 2.33%
7 image of flag of Canada Canada 2 2.33%
8 image of flag of Romania Romania 1 1.16%
9 image of flag of Kazakhstan Kazakhstan 1 1.16%
10 image of flag of Hong Kong Hong Kong 1 1.16%
    other countries 7 8.14%

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