A scalable parallel computing SPH framework for predictions of geophysical granular flows

Yang, Emily; Bui, Ha H.; Sterck, Hans De; Nguyen, Giang D.; Bouazza, Abdelmalek

doi:10.1016/j.compgeo.2020.103474

Cited by 41 publications

(15 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to the workload, another drawback of MPI is the expensive cost to build a massive multi-processor cluster that is less accessible for ordinary SPH practitioners. Despite this, the superiorities of MPI are evident; the most important one is that MPI can realize large-scale SPH simulations by employing substantial processors up to thousands and even tens of thousands as reported in [264,266,267].…”

Section: Accelerating Sph Simulation With Central Processing Units (Cpus)mentioning

confidence: 99%

A Review of SPH Techniques for Hydrodynamic Simulations of Ocean Energy Devices

et al. 2022

View full text Add to dashboard Cite

This article is dedicated to providing a detailed review concerning the SPH-based hydrodynamic simulations for ocean energy devices (OEDs). Attention is particularly focused on three topics that are tightly related to the concerning field, covering (1) SPH-based numerical fluid tanks, (2) multi-physics SPH techniques towards simulating OEDs, and finally (3) computational efficiency and capacity. In addition, the striking challenges of the SPH method with respect to simulating OEDs are elaborated, and the future prospects of the SPH method for the concerning topics are also provided.

show abstract

Section: Accelerating Sph Simulation With Central Processing Units (Cpus)mentioning

confidence: 99%

A Review of SPH Techniques for Hydrodynamic Simulations of Ocean Energy Devices

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Remark 9. Comparable results of a strong scaling analysis for an SPH implementation are given, e.g., in [45] (r c / x = 2.5) and [69] (r c / x = 2.4), however, in contrast to this example (r c / x = 3.0) with a smaller ratio of the support radius r c and the initial particle spacing x, resulting in a lower influence on the communication overhead, cf. Remark 9.…”

Section: Strong Scaling Analysis Of Parallel Computational Frameworkmentioning

confidence: 99%

An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions

Fuchs

Meier

Wall

et al. 2021

Adv. Model. and Simul. in Eng. Sci.

View full text Add to dashboard Cite

The present work proposes an approach for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions. The solid field is assumed to consist of several arbitrarily-shaped, undeformable but mobile rigid bodies, that are evolved in time individually and allowed to get into mechanical contact with each other. The fluid field generally consists of multiple liquid or gas phases. All fields are spatially discretized using the method of smoothed particle hydrodynamics (SPH). This approach is especially suitable in the context of continually changing interface topologies and dynamic phase transitions without the need for additional methodological and computational effort for interface tracking as compared to mesh- or grid-based methods. Proposing a concept for the parallelization of the computational framework, in particular concerning a computationally efficient evaluation of rigid body motion, is an essential part of this work. Finally, the accuracy and robustness of the proposed framework is demonstrated by several numerical examples in two and three dimensions, involving multiple rigid bodies, two-phase flow, and reversible phase transitions, with a focus on two potential application scenarios in the fields of engineering and biomechanics: powder bed fusion additive manufacturing (PBFAM) and disintegration of food boluses in the human stomach. The efficiency of the parallel computational framework is demonstrated by a strong scaling analysis.

show abstract

“…To determine the second invariants 𝐽 2 for the Drucker-Prager criterion, the deviatoric shear stress rate 𝑠 ̇𝛼𝛽 should be obtained from the rheological model as described in Yang et al (2020) as:…”

Section: Soil Constitutive Modelmentioning

confidence: 99%

Applying the Drucker-Prager Failure Criterion for Representing Soil Behavior using Smoothed Particle Hydrodynamics

Bahsan¹,

Andreatama²,

Prakoso³

et al. 2021

IJTech

View full text Add to dashboard Cite

Smoothed Particle Hydrodynamics (SPH) has previously used in hydrodynamics as a Lagrangian numerical method to simulate fluid behavior. Recently the SPH is also being used to simulate soil deformation, since the largely known Finite Element Method (FEM) cannot represent the soil deformation after failure. In SPH, soil materials are modeled as a set of particles, and the behavior of those particles can be simplified using the equivalent viscosity or using the soil failure criterion. This research tries to implement the Drucker-Prager model using Fortran platform to simulate a simple soil model deformation behavior, by modifying the previous model that used the equivalent viscosity. A simple model of small slope is built by a stack of SPH particles, which are expected to behave as the collapsing soil mass. The movement of the particles and the change of the model's geometry are observed visually after the SPH simulation. The preliminary results show that the particles can already behave like a failure in granular soil, yet it still needs to be improved due to the unwanted particle movements.

show abstract

A scalable parallel computing SPH framework for predictions of geophysical granular flows

Cited by 41 publications

References 71 publications

A Review of SPH Techniques for Hydrodynamic Simulations of Ocean Energy Devices

A Review of SPH Techniques for Hydrodynamic Simulations of Ocean Energy Devices

An SPH framework for fluid–solid and contact interaction problems including thermo-mechanical coupling and reversible phase transitions

Applying the Drucker-Prager Failure Criterion for Representing Soil Behavior using Smoothed Particle Hydrodynamics

Contact Info

Product

Resources

About