Title:
An Efficient SPH Framework for Modeling Binary Granular Mixtures and Implications for Granular Flows
Document type:
Zeitschriftenaufsatz
Author(s):
Zhang, Shuaihao; Wu, Dong; Hu, Xiangyu; Choi, Clarence E.; Lourenço, Sérgio D. N.
Abstract:
A two-way coupling numerical framework based on smoothed particle hydrodynamics (SPH) is developed in this study to model binary granular mixtures consisting of coarse and fine grains. The framework employs updated Lagrangian SPH to simulate fine grains, with particle configurations updated at each time step, and total Lagrangian SPH to efficiently model coarse grains without updated particle configurations. A Riemann solver is utilized to introduce numerical dissipation in fine grains and facilitate their coupling with coarse grains. To enhance computational efficiency, a multiple time-stepping scheme is initially applied to manage the time integration coupling between coarse and fine grains. Several numerical experiments, including granular column collapse, low-speed impact craters, and granular flow impacting blocks, are conducted to validate the stability and accuracy of the proposed algorithm. Subsequently, two more complex scenarios involving a soil–rock mixture slope considering irregular coarse particle shapes, and bouldery debris flows on natural terrain, are simulated to showcase the potential engineering applications. Finally, a detailed analysis is performed to evaluate the computational efficiency advantages of the present approach. The findings of this study are consistent with previous experimental and numerical results, and the implementation of a multiple time-stepping scheme can improve computational efficiency by up to 600%, thereby providing significant advantages for large-scale engineering simulations. © 2024 John Wiley & Sons Ltd.
Keywords:
binary mixtures; bouldery debris flow; granular materials; smoothed particle hydrodynamics; updated Lagrangian formulation
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Journal title:
International Journal for Numerical and Analytical Methods in Geomechanics
Year:
2024
Covered by:
Scopus
Language:
en
Fulltext / DOI:
doi:10.1002/nag.3901
WWW:
https://onlinelibrary.wiley.com/doi/10.1002/nag.3901
Publisher:
Wiley
E-ISSN:
0363-90611096-9853
Notes:
unding: This research was supported by the Research Grants Council Hong Kong for their sponsorship of this research under a Collaborative Research Fund (C6006-20GF) and by the German Research Foundation (DFG) for their sponsorship of this research under Grant Number DFG HU1527/12-4.
Date of publication:
26.11.2024
TUM Institution:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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