Literature DB >> 27882468

Discrete element modelling of sediment falling in water.

Dong Wang1, Dao Ho-Minh1, Danielle S Tan2.   

Abstract

The Discrete Element Method (DEM) is a discrete, particle-based method commonly used in studies involving granular media, e.g. sediment transport, and geomechanics. It is heavily dependent on particle properties, and one important component is the force model, which relates the relative positions and velocities of the simulated particles to the forces they experience. In this paper we model a collection of lightly compacted granular material, released at a short distance above a flat base in a quiescent fluid --similar to the process whereby sediment tailings are released back into the sea during nodule harvesting. We employ different typical force models, and consider how their varying components affect the simulated outcome. The results are compared with a physical experiment of similar dimensions. We find that a realistic simulation is achieved when the force model considers the local solid fraction in the drag force, and incorporates the hydrodynamic effect of neighbouring particles. The added mass effect increases the accuracy of the outcome, but does not contribute significantly in a qualitative sense.

Entities:  

Keywords:  Flowing Matter: Granular Matter

Year:  2016        PMID: 27882468     DOI: 10.1140/epje/i2016-16112-8

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


  1 in total

1.  Modelling sheet-flow sediment transport in wave-bottom boundary layers using discrete-element modelling.

Authors:  Joseph Calantoni; K Todd Holland; Thomas G Drake
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2004-09-15       Impact factor: 4.226

  1 in total
  1 in total

1.  Temperature and initial composition dependence of pattern formation and dynamic behavior in phase separation under deep-quenched conditions.

Authors:  Liang Zhang; Yinli Peng; Li Zhang; Xiaowei Lei; Wenjing Yao; Nan Wang
Journal:  RSC Adv       Date:  2019-04-05       Impact factor: 4.036

  1 in total

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