SediFoam: A general-purpose, open-source CFD–DEM solver for particle-laden flow with emphasis on sediment transport

Sun, Rui; Xiao, Heng

doi:10.1016/j.cageo.2016.01.011

Cited by 120 publications

(81 citation statements)

References 42 publications

(66 reference statements)

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“…In contrast, when Θ r t < Θ < Θ e t , particles entrained by turbulent events continuously rebound for comparably longer periods before they deposit again, giving rise to intermittent bulk transport and significant transport autocorrelations, as often observed in aeolian (Bauer & Davidson-Arnott, 2014;Baas & Sherman, 2005;Carneiro et al, 2015;Dupont et al, 2013;Ellis et al, 2012;Lee, 1987;Martin et al, 2013;Pfeifer & Schönfeldt, 2012;Rasmussen & Sørensen, 1999;Sherman et al, 2018;Spies et al, 2000;Stout & Zobeck, 1997) and fluvial systems (Ancey et al, 2006(Ancey et al, , 2008Dinehart, 1999;Drake et al, 1988;Heathershaw & Thorne, 1985;Heyman et al, 2013;Lee & Jerolmack, 2018). The closer Θ comes to the impact entrainment threshold Θ e t , the more such continuously rebounding particles the flow can carry, which increases the probability of impact entrainment events (section 4.2) and thus further enhances transport autocorrelation.…”

Section: Intermittent Bulk Transport ( R T < < E T )mentioning

confidence: 99%

“…The numerical model of sediment transport in a Newtonian fluid by Durán et al () belongs to a new generation of sophisticated grain‐scale models of sediment transport (Arolla & Desjardins, ; Carneiro et al, , , ; Clark et al, , ; Derksen, ; Durán et al, , ; Durán et al, ; Durán et al, ; Elghannay & Tafti, , ; Finn & Li, ; Finn et al, ; González et al, ; Ji et al, ; Kidanemariam & Uhlmann, , , ; Maurin et al, , , ; Pähtz & Durán, ; Pähtz, Durán, et al, ; Pähtz, Omeradžić, et al, ; Schmeeckle, ; Seil et al, ; Sun & Xiao, ; Vowinckel et al, , ). It couples a discrete element method for the particle motion with a continuum Reynolds‐averaged description of hydrodynamics, which means that it neglects turbulent fluctuations around the mean turbulent flow.…”

Section: Numerical Model Descriptionmentioning

confidence: 99%

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The Cessation Threshold of Nonsuspended Sediment Transport Across Aeolian and Fluvial Environments

2018

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Using particle‐scale simulations of nonsuspended sediment transport for a large range of Newtonian fluids driving transport, including air and water, we determine the bulk transport cessation threshold normalΘtr by extrapolating the transport load as a function of the dimensionless fluid shear stress (Shields number) Θ to the vanishing transport limit. In this limit, the simulated steady states of continuous transport can be described by simple analytical model equations relating the average transport layer properties to the law of the wall flow velocity profile. We use this model to calculate normalΘtr for arbitrary environments and derive a general Shields‐like threshold diagram in which a Stokes‐like number replaces the particle Reynolds number. Despite the simplicity of our hydrodynamic description, the predicted cessation threshold, both from the simulations and analytical model, quantitatively agrees with measurements for transport in air and viscous and turbulent liquids despite not being fitted to these measurements. We interpret the analytical model as a description of a continuous rebound motion of transported particles and thus normalΘtr as the minimal fluid shear stress needed to compensate the average energy loss of transported particles during an average rebound at the bed surface. This interpretation, supported by simulations near normalΘtr, implies that entrainment mechanisms are needed to sustain transport above normalΘtr. While entrainment by turbulent events sustains intermittent transport, entrainment by particle‐bed impacts sustains continuous transport. Combining our interpretations with the critical energy criterion for incipient motion by Valyrakis and coworkers, we put forward a new conceptual picture of sediment transport intermittency.

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Section: Intermittent Bulk Transport ( R T < < E T )mentioning

confidence: 99%

Section: Numerical Model Descriptionmentioning

confidence: 99%

The Cessation Threshold of Nonsuspended Sediment Transport Across Aeolian and Fluvial Environments

2018

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“…The coupled solver is developed by Sun and Xiao [21], and the source code is available at https://github.com/xiaoh/sediFoam. The detailed algorithms of this solver are published in [22,23] and it has been rigorously verified and validated in a wide range of application areas, such as the fluidized bed [24], sediment transport [21] and sand dune migration [25]. Here, a block flow diagram of sediFoam is shown in Fig.…”

Section: Coupled Cfd-dem Approachmentioning

confidence: 99%

“…The averaging process was introduced in [21,22]. The right terms of the momentum conservation equation are the pressure gradient ∇ , the divergence of the stress tensor , gravity g, and fluid-particle interaction forces , which is the averaged interaction force from every individual particle in a fluid cell.…”

Section: Fig 1 the Block Flow Diagram Of Sedifoammentioning

confidence: 99%

Study of sedimentation of non-cohesive particles via CFD–DEM simulations

Sun

Cai

et al. 2017

Granular Matter

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The sedimentation process of granular materials exists ubiquitously in nature and many fields which involve the solid-liquid separation. This paper employs the coupled computational fluid dynamics and discrete element method (CFD-DEM) to investigate the sedimentation process of non-cohesive particles, including the hindered settling stage and the deposition stage. Firstly, the coupled CFD-DEM model for sedimentation is validated by the hindered settling velocity at different solid volume concentrations of suspension , i.e., = 0.05~0.6. Two typical modes of sedimentation are also presented by the concentration profiles and the equal-concentration lines. Then, the comparisons between mono-and poly-dispersed particle system are detailed. In the sedimentation of the poly-dispersed particle system, the segregation phenomenon is simulated. Furthermore, this segregation effect reduces with the increase of the initial solid concentration of suspension. From the simulations, the contact force between every pair of particles can be obtained, hence we demonstrate the "effective stress principle" from the view of the particle contact force by giving the correspondence between the particle contact force and the "effective stress", which is a critical concept of soil mechanics. We also demonstrate the effective stress principle from the view of the contact force acting on particles.Moreover, the deposition stage can be simulated by CFD-DEM method, therefore the solid concentrations of sediment bed max on different conditions are studied. Based on the simulation results of max and the theory of sedimentation, this paper also discusses a method to calculate the critical time when sedimentation ends of two typical modes of sedimentation.

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“…Block diagram of CFD-DEM coupling. Diagram adopted from [36]. Fluid dynamics is solved in the CFD module and particle motion is solved in the DEM module.…”

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confidence: 99%

NUFEB: A Massively Parallel Simulator for Individual-based Modelling of Microbial Communities

Taniguchi

Jayathilake

et al. 2019

Preprint

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We present NUFEB, a flexible, efficient, and open source software for simulating the 3D dynamics of microbial communities. The tool is based on the Individual-based Modelling (IbM) approach, where microbes are represented as discrete units and their behaviour changes over time due to a variety of processes. This approach allows us to study population behaviours that emerge from the interaction between individuals and their environment. NUFEB is built on top of the classical molecular dynamics simulator LAMMPS, which we extended with IbM features. A wide range of biological, physical and chemical processes are implemented to explicitly model microbial systems. NUFEB is fully parallelised and allows for the simulation of large numbers of microbes (10 7 individuals and beyond). The parallelisation is based on a domain decomposition scheme that divides the domain into multiple sub-domains which are distributed to different processors. NUFEB also offers a collection of post-processing routines for the visualisation and analysis of simulation output. In this article, we give an overview of NUFEB's functionalities and implementation details. We provide examples that illustrate the type of microbial systems NUFEB can be used to model and simulate. Author summaryIndividual-based Models (IbM) are one of the most promising frameworks to study microbial communities, as they can explicitly describe the behaviour of each cell. The development of a general-purpose IbM solver should focus on efficiency and flexibility due to the unique characteristics of microbial systems. However, available tools for these purposes present significant limitations. Most of them only facilitate serial computing for single simulation, or only focus on biological processes, but do not model mechanical and chemical processes in detail. In this work, we introduce the IbM solver NUFEB May 17, 2019 1/19 that addresses these shortcoming. The tool facilitates the modelling of much needed biological, chemical, physical and individual microbes in detail, and offers the flexibility of model extension and customisation. NUFEB is also fully parallelised and allows for the simulation of large complex microbial system. In this paper, we first give an overview of NUFEB's functionalities and implementation details. Then, we use NUFEB to model and simulate a biofilm system with fluid dynamics, and a large and complex biofilm system with multiple microbial functional groups and multiple nutrients. 1 This is a PLOS Computational Biology Software paper. 28 biological, chemical and physical processes, or sometimes it may be a simple model that 29 describes mono-functional group or focuses on a few processes. Thus, it is important for 30 the solver to be highly customisable (for building IbM) and extendible (with new IbM 31 features). Second, the solver should be scalable. Simulation of large microbial 32 communities is difficult since they contain a very high number of individuals. Different 33 modelling strategies have been proposed to overcome this limitation, inclu...

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SediFoam: A general-purpose, open-source CFD–DEM solver for particle-laden flow with emphasis on sediment transport

Cited by 120 publications

References 42 publications

The Cessation Threshold of Nonsuspended Sediment Transport Across Aeolian and Fluvial Environments

The Cessation Threshold of Nonsuspended Sediment Transport Across Aeolian and Fluvial Environments

Study of sedimentation of non-cohesive particles via CFD–DEM simulations

NUFEB: A Massively Parallel Simulator for Individual-based Modelling of Microbial Communities

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