Technical Papers
Sep 14, 2018

Novel SPH SIMSAND–Based Approach for Modeling of Granular Collapse

Publication: International Journal of Geomechanics
Volume 18, Issue 11

Abstract

Granular collapse is a common issue in natural hazards. This paper proposes a novel numerical approach on modeling granular column collapse. A newly developed critical state–based constitutive model, SIMSAND, was adopted to combine with the smoothed particle hydrodynamics (SPH) method for realistically reproducing large deformation during collapse. A rectangular channel and two-dimensional column tests were first simulated for the validation. The effects of aspect ratio and initial soil density were further investigated by additional simulations. It was demonstrated that the novel SPH-SIMSAND approach is helpful in improving the understanding of granular collapse and should be an effective computational tool for the analysis of real-scale granular flow.

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Acknowledgments

The financial support for this research came from the National Natural Science Foundation of China (Grants 41372285 and 51579179) and the Region Pays de la Loire of France (Project RI-ADAPTCLIM).

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 18Issue 11November 2018

History

Received: Oct 19, 2017
Accepted: Apr 12, 2018
Published online: Sep 14, 2018
Published in print: Nov 1, 2018
Discussion open until: Feb 14, 2019

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Authors

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Zhen-Yu Yin [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong, China (corresponding author). Email: [email protected]; [email protected]
Zhuang Jin
Ph.D. Candidate, Research Institute of Civil Engineering and Mechanics (GeM), UMR CNRS 6183, Ecole Centrale de Nantes, Nantes 44321, France.
Panagiotis Kotronis
Professor, Research Institute of Civil Engineering and Mechanics (GeM), UMR CNRS 6183, Ecole Centrale de Nantes, Nantes 44321, France.
Ze-Xiang Wu
Assistant Professor, College of Architecture and Civil Engineering, Wenzhou Univ., Wenzhou 325035, People’s Republic of China.

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