Mesh-free SPH modeling of sediment scouring and flushing

Khanpour, Mahdiyar; Zarrati, Amir Reza; Kolahdoozan, Morteza; Shakibaeinia, Ahmad; Amirshahi, Seyed Mohammad

doi:10.1016/j.compfluid.2016.02.005

Cited by 52 publications

(24 citation statements)

References 34 publications

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“…The H-B model also accounts for the post-failure non-linear behavior of the stress tensor. The effective viscosity of H-B model is given by: considered for the effective viscosity (as in [17,27,24,26]):…”

Section: Granular Rheologymentioning

confidence: 99%

“…Such fluctuations (however small) can introduce some un-physical vibrations which can affect the pre-and post-failure behaviours. To avoid this, some recent MPS and SPH studies (e.g., [27,17,26]), have used a static pressure (for cases with sufficiently small vertical acceleration) that, for the case of dry granular flow, is given by:…”

Section: Pressurementioning

confidence: 99%

“…Shakibaeinia and Jin [17,24] developed a WC-MPS model in combination with different viscoplastic constitutive relations for applications, such as sand/slurry jet in water and sediment-water interaction in dam-break, respectively. Similarly, SPH method has recently been used for the simulation of granular flow problems, such as soil failure (in combination with a elasticplastic model) [25], and sediment transport (in combination with a Bingham plastic model) [26,27]. Other particle continuum methods such as the material point method (MPM) [28] and the particle finite element method (PFEM) [29] have also been successful in prediction granular flow behaviour, although they still require a global background mesh system.…”

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confidence: 99%

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A multiphase meshfree particle method for continuum-based modeling of dry and submerged granular flows

2018

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Section: Granular Rheologymentioning

confidence: 99%

Section: Pressurementioning

confidence: 99%

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confidence: 99%

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A multiphase meshfree particle method for continuum-based modeling of dry and submerged granular flows

2018

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“…The consistency is ensured by the completeness of the basic functions. Smoothed Particle Hydrodynamic (SPH), which uses the kernel approximation, is one of the earliest meshless methods successfully applied for simulation of di erent uid mechanic problems, such as free surface Newtonian and non-Newtonian ows [1], sediment transport [2], and multiphase ows [3]. Koshizuka and Oka proposed Moving Particle Semiimplicit (MPS) method [4].…”

Section: Introductionmentioning

confidence: 99%

Mixed discrete least squares meshless method for solving the linear and non-linear propagation problems

2017

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Abstract. A Mixed formulation of Discrete Least Squares Meshless (MDLSM) as atruly mesh-free method is presented in this paper for solving both linear and non-linear propagation problems. In DLSM method, the irreducible formulation is deployed, which needs to calculate the costly second derivatives of the MLS shape functions. In the proposed MDLSM method, the complex and costly second derivatives of shape functions are not required. Furthermore, using the mixed formulation, both unknown parameters and their gradients are simultaneously obtained circumventing the need for post-processing procedure performed in irreducible formulation to calculate the gradients. Therefore, the accuracy of gradients of unknown parameters is increased. In MDLSM method, the set of simultaneous algebraic equations is built by minimizing a least squares functional with respect to the nodal parameters. The least squares functional is de ned as the sum of squared residuals of the di erential equation and its boundary condition. The proposed method automatically leads to symmetric and positive-de nite system of equations and, therefore, is not subject to the Ladyzenskaja-Babuska-Brezzi (LBB) condition. The proposed MDLSM method is validated and veri ed by a set of benchmark problems. The results indicate the ability of the proposed method to e ciently and e ectively solve the linear and non-linear propagation problems.

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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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Mesh-free SPH modeling of sediment scouring and flushing

Cited by 52 publications

References 34 publications

A multiphase meshfree particle method for continuum-based modeling of dry and submerged granular flows

A multiphase meshfree particle method for continuum-based modeling of dry and submerged granular flows

Mixed discrete least squares meshless method for solving the linear and non-linear propagation problems

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

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