Smoothed particle hydrodynamics: Applications to migration of radionuclides in confined aqueous systems

Mayoral-Villa, Estela; Alvarado-Rodríguez, Carlos E.; Klapp, Jaime; Gómez‐Gesteira, M.; Sigalotti, Leonardo Di G.

doi:10.1016/j.jconhyd.2016.01.008

Cited by 16 publications

(5 citation statements)

References 34 publications

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“…The present numerical model has extensively been tested and validated for a variety of fluid flow problems (Ariane et al , 2018; Ariane et al , 2017a; Ariane et al , 2017b). In this section, the numerical framework is additionally validated for the implementation of mass diffusion by means of a one-dimensional diffusion problem which is also used to test other SPH studies in the literature (Mayoral-Villa et al , 2016; Rezavand et al , 2019). To model this problem, a square domain with dimensions of unity is modelled and fluid particles which satisfy the [0.45 ≤ x ≤ 0.55] condition are assigned to a concentration of unity, whereas the rest of particles are set to zero concentration.…”

Section: Resultsmentioning

confidence: 99%

“…The advantage of particle-based methods is inherited in their Lagrangian particle-based nature that makes them suitable for problems with moving boundaries such as multi-phase flows and fluid–solid interactions. Within the scope of particle-based methods, there are studies that discussed the diffusion of species in fluid flow (Mayoral-Villa et al , 2016; Rezavand et al , 2019; Hirschler et al , 2016), but to the best of the authors’ knowledge, the dissolution process of dispersed particles into fluid flow is not well investigated.…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of dissolution of solid particles in fluid flow using the SPH method

Rahmat

Barigou

Alexiadis

2019

HFF

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Purpose The purpose of this paper is to numerically study the dissolution of solid particles using the smoothed particle hydrodynamics (SPH) method. Design/methodology/approach To implement dissolution, an advection–diffusion mass transport equation is solved over computational particles. Subsequently, these particles disintegrate from the solute when their concentration falls below a certain threshold. Findings It is shown that the implementation of dissolution is in good agreement with available data in the literature. The dissolution of solid particles is studied for a wide range of Reynolds and Schmidt numbers. Two-dimensional (2D) results are compared with three-dimensional (3D) cases to identify where 2D results are accurate for modelling 3D dissolution phenomena. Originality/value The present numerical model is capable of addressing related problems in pharmaceutical, biochemical, food processing and detergent industries.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical simulation of dissolution of solid particles in fluid flow using the SPH method

Rahmat

Barigou

Alexiadis

2019

HFF

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“…Table 5 shows some examples of these tailored solutions that were implemented with or without the collaboration of the developers. There is a wide range of applications that goes from fundamental problems that cover the development of an incompressible version of the code [113], new boundary conditions [114] or the use of adaptive spatial resolution [115]; to applications like heat transfer [116] or the decay of radionuclides [117]. Due to the different nature of the phenomena under study these new developments do not necessarily appear in further releases.…”

Section: Applicationsmentioning

confidence: 99%

DualSPHysics: from fluid dynamics to multiphysics problems

et al. 2021

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DualSPHysics is a weakly compressible smoothed particle hydrodynamics (SPH) Navier-Stokes solver initially conceived to deal with coastal engineering problems, especially those related to wave impact with coastal structures. Since the first release back in 2011, DualSPHysics has shown to be robust and accurate for simulating extreme wave events along with a continuous improvement in efficiency thanks to the exploitation of hardware such as graphics processing units (GPUs) for scientific computing or the coupling with wave propagating models such as SWASH and OceanWave3D. Numerous additional functionalities have also been included in the DualSPHysics package over the last few years which allow the simulation of fluid-driven objects. The use of the discrete element method (DEM) has allowed the solver to simulate the interaction among different bodies (sliding rocks, for example), which provides a unique tool to analyse debris flows. In addition, the recent coupling with other solvers like Project Chrono or MoorDyn has been a milestone in the development of the solver. Project Chrono allows the simulation of articulated structures with joints, hinges, sliders and springs and MoorDyn allows simulating moored structures. Both functionalities make DualSPHysics one of the meshless model world leaders in the simulation of offshore energy harvesting devices. Lately, the present state of maturity of the solver goes beyond single phase simulations, allowing multi-phase simulations with gas-liquid and a combination of Newtonian and non-Newtonian models expanding further the capabilities and range of applications for the DualSPHysics solver. These advances and functionalities make DualSPHysics a state-of-the-art meshless solver with emphasis on free-surface flow modelling.

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“…Since then, it has been used in several research areas, e.g. coastal engineering [3][4][5][6][7], flooding forecast [8][9][10][11], solid body transport [12][13][14][15], soil mechanics [16][17][18][19][20], sediment erosion or entrainment processes [21][22][23][24], fastmoving non-Newtonian flows [25][26][27][28][29][30][31][32][33], flows in porous media [34][35][36], solute transport [37][38][39], turbulent flows [40][41][42] and multiphase flows [43][44][45][46][47], not to mention manifold industrial applications (see, for instance [48][49][50]…”

Section: Introductionmentioning

confidence: 99%

Free-Surface Flow Simulations with Smoothed Particle Hydrodynamics Method using High-Performance Computing

Altomare¹,

Viccione²,

Tagliafierro³

et al. 2018

Computational Fluid Dynamics - Basic Instruments and Applications in Science

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Today, the use of modern high-performance computing (HPC) systems, such as clusters equipped with graphics processing units (GPUs), allows solving problems with resolutions unthinkable only a decade ago. The demand for high computational power is certainly an issue when simulating free-surface flows. However, taking the advantage of GPU's parallel computing techniques, simulations involving up to 10 9 particles can be achieved. In this framework, this chapter shows some numerical results of typical coastal engineering problems obtained by means of the GPU-based computing servers maintained at the Environmental Physics Laboratory (EPhysLab) from Vigo University in Ourense (Spain) and the Tier-1 Galileo cluster of the Italian computing centre CINECA. The DualSPHysics free package based on smoothed particle hydrodynamics (SPH) technique was used for the purpose. SPH is a meshless particle method based on Lagrangian formulation by which the fluid domain is discretized as a collection of computing fluid particles. Speedup and efficiency of calculations are studied in terms of the initial interparticle distance and by coupling DualSPHysics with a NLSW wave propagation model. Water free-surface elevation, orbital velocities and wave forces are compared with results from experimental campaigns and theoretical solutions.

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Smoothed particle hydrodynamics: Applications to migration of radionuclides in confined aqueous systems

Cited by 16 publications

References 34 publications

Numerical simulation of dissolution of solid particles in fluid flow using the SPH method

Numerical simulation of dissolution of solid particles in fluid flow using the SPH method

DualSPHysics: from fluid dynamics to multiphysics problems

Free-Surface Flow Simulations with Smoothed Particle Hydrodynamics Method using High-Performance Computing

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