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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Zhang Chongwei

Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:University College London (UCL)
Degree:Doctoral Degree
School/Department:School of Hydraulic Engineering
Business Address:State Key Laboratory of Coastal and Offshore Engineering
Contact Information:chongweizhang@dlut.edu.cn
E-Mail:chongweizhang@dlut.edu.cn
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Current position: Home >> Scientific Research >> Paper Publications

A coupled Particle-In-Cell (PIC)-Discrete Element Method (DEM) solver for fluid-solid mixture flow simulations

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Indexed by:期刊论文

Date of Publication:2021-03-11

Journal:JOURNAL OF FLUIDS AND STRUCTURES

Volume:91

Page Number:102772-

ISSN No.:0889-9746

Key Words:Particle-In-Cell (PIC) method; Discrete Element Method (DEM); Fluid-solid mixture flows; Fall-pipe solid dumping

Abstract:In this paper, a coupled Particle-In-Cell (PIC)-Discrete Element Method (DEM) model is developed for numerical simulations of complex fluid-solid mixture flows. The fluidsolid interaction part is solved using the hybrid Eulerian-Lagrangian PIC model, and the solid-solid interaction part is simulated using the Lagrangian DEM model. The PIC model gives the coupled PIC-DEM model both Eulerian efficiency and Lagrangian flexibility, compared to purely Lagrangian methods such as Smoothed Particle Hydrodynamics (SPH). The time step difference between the PIC model and the DEM model is handled using the idea of subcycles. In addition, a straightforward method is proposed for mitigating the issue of unphysical gaps between solids during collision due to the use of the Cartesian cut cell method for fluid-solid interaction. The PIC-DEM model is validated by physical experiments of the collapse of solid cylinder layers with and without water. Following that, the capability of the numerical model is further demonstrated through a more complex problem of solid dumping through fall pipes. The results show great potential of the PIC-DEM model being a useful tool for simulating complex fluid-solid mixture flows. (C) 2019 Elsevier Ltd. All rights reserved.