Volume 92
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Tang, H., Lin, B., & Wang, D. (2024). Granular collapse in fluids: Dynamics and flow regime identification. Particuology, 92, 30-41. https://doi.org/10.1016/j.partic.2024.04.013
Granular collapse in fluids: Dynamics and flow regime identification
Hu Tang, Bisong Lin, Dengming Wang *
Department of Mechanics and Engineering Science, School of Civil Engineering and Mechanics, Key Laboratory of Mechanics on Disaster and Environment in Western China of Ministry of Education, Lanzhou University, Lanzhou, 730000, China
10.1016/j.partic.2024.04.013
Volume 92, September 2024, Pages 30-41
Received 2 March 2024, Revised 23 April 2024, Accepted 25 April 2024, Available online 3 May 2024, Version of Record 10 May 2024.
E-mail: dmwang@lzu.edu.cn

Highlights

• The collapse of immersed granular columns is numerically investigated.

• The columns size has a non-negligible impact on the collapse and the deposit.

• A refined inertial characteristic time is introduced within the inertial regime.

• Modifications to conventional dimensionless numbers are proposed.

• A new phase diagram is constructed for describing different flow regimes.


Abstract

The collapse of granular material in fluids is a prevalent phenomenon in both natural and industrial processes, displaying a notable sensitivity to initial configuration of the system. This study is specifically oriented towards falling process of collapsing material under various fluid conditions, employing the computational fluid dynamics-discrete element method (CFD-DEM) to primarily investigate the dynamics and scaling laws of deposit morphology of collapsed material. Through a comprehensive analysis of particle sedimentation in fluids, we introduce a refined inertial characteristic time for granular collapse within the inertial regime. Subsequently, we propose modifications to conventional fluid-particle density ratio and Reynolds number, aiming to enhance the accuracy of depicting collapse dynamics and identifying flow regimes across diverse column heights and fluid conditions. Finally, we construct a phase diagram of flow regimes using modified dimensionless numbers, emphasizing the role of column height in transition between viscous and inertial regimes. These parameters demonstrate enhanced relevance in governing the collapse of immersed granular columns, thereby contributing to a more nuanced understanding of fluid-particle interations in dense granular flows under different regimes.

Graphical abstract
Keywords
Immersed granular material; Collapse; Dynamic; Flow regime; Computational fluid dynamics-discrete element method