Graphics processing unit-accelerated smoothed particle hydrodynamics—Finite difference method and the application for the flow around a cylinder with forced motions

We present the smoothed-particle hydrodynamics simulation code, Bonsai-SPH, which is a continuation of our previously developed gravity-only hierarchical NN-body code (called Bonsai). The code is optimized for Graphics Processing Unit (GPU) accelerators which enables researchers to take advantage of these powerful computational resources. Bonsai-SPH produces simulation results comparable with state-of-the-art, CPU based, codes, but using an order of magnitude less computation time. The code is freely available online and the details are described in this work.

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Seafloor Pressure Signatures of a High-Speed Boat in Shallow Water With SPH

Volume 8B: Ocean Engineering ◽

10.1115/omae2014-24080 ◽

2014 ◽

Author(s):

Angelantonio Tafuni ◽

Iskender Sahin

Keyword(s):

Shallow Water ◽

High Speed ◽

Graphics Processing Unit ◽

Processing Unit ◽

Computational Domain ◽

Particle Hydrodynamics ◽

Smoothed Particle ◽

Good Trade ◽

Seafloor Pressure ◽

Graphics Processing

Smoothed Particle Hydrodynamics (SPH) based simulations are implemented to evaluate the pressure-induced signatures on the ocean floor due to the passage of a high-speed boat in quiescent shallow water. Along with the standard Weakly-Compressible SPH (WCSPH) equations, the delta-SPH formulation is employed, which modifies the SPH continuity equation by incorporating numerical diffusion. This correction allows for a considerable reduction of the spurious oscillations characterizing pressure fields obtained with WCSPH algorithms. A simple computer model of a planing boat is developed for comparison with similar works in the literature. Simulations are performed using a parallel open-source SPH code on a high-end graphics processing unit (GPU). A convergence study on the size of the optimal computational domain is carried out, with a total number of particles per simulation ranging between 100,000 to 20,000,000. Part of the computational work is directed towards the investigation of the best set of SPH parameters to be employed in this specific study, with particular attention to the choice of a suitable kernel function, particle resolution and viscosity coefficients. Pressure contours and pressure plots at lateral locations at the seafloor are presented, showing good agreement with previous studies. It can be inferred that the SPH methodology is a suitable choice for free-surface problems, offering a good trade-off among the ease of implementation, computational efficiency and accuracy of the results.

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Review of smoothed particle hydrodynamics: towards converged Lagrangian flow modelling

Proceedings of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rspa.2019.0801 ◽

2020 ◽

Vol 476 (2241) ◽

pp. 20190801

Author(s):

Steven J. Lind ◽

Benedict D. Rogers ◽

Peter K. Stansby

Keyword(s):

Smoothed Particle Hydrodynamics ◽

Graphics Processing Units ◽

Wave Structure ◽

Free Form ◽

Mesh Free ◽

Weakly Compressible ◽

Particle Hydrodynamics ◽

Massively Parallel Computing ◽

Smoothed Particle ◽

Graphics Processing

This paper presents a review of the progress of smoothed particle hydrodynamics (SPH) towards high-order converged simulations. As a mesh-free Lagrangian method suitable for complex flows with interfaces and multiple phases, SPH has developed considerably in the past decade. While original applications were in astrophysics, early engineering applications showed the versatility and robustness of the method without emphasis on accuracy and convergence. The early method was of weakly compressible form resulting in noisy pressures due to spurious pressure waves. This was effectively removed in the incompressible (divergence-free) form which followed; since then the weakly compressible form has been advanced, reducing pressure noise. Now numerical convergence studies are standard. While the method is computationally demanding on conventional processors, it is well suited to parallel processing on massively parallel computing and graphics processing units. Applications are diverse and encompass wave–structure interaction, geophysical flows due to landslides, nuclear sludge flows, welding, gearbox flows and many others. In the state of the art, convergence is typically between the first- and second-order theoretical limits. Recent advances are improving convergence to fourth order (and higher) and these will also be outlined. This can be necessary to resolve multi-scale aspects of turbulent flow.

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Graphics processing unit acceleration of finite-difference time-domain method

The Finite-Difference Time-Domain in Electromagnetics ◽

10.1049/sbew514e_ch16 ◽

2016 ◽

pp. 471-489

Keyword(s):

Finite Difference ◽

Time Domain ◽

Finite Difference Time Domain ◽

Graphics Processing Unit ◽

Time Domain Method ◽

Processing Unit ◽

Domain Method ◽

Graphics Processing ◽

Difference Time

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THREE-DIMENSIONAL MODELING OF LONG-WAVE RUNUP: SIMULATION OF TSUNAMI INUNDATION WITH GPU-SPHYSICS

Coastal Engineering Proceedings ◽

10.9753/icce.v32.currents.8 ◽

2011 ◽

Vol 1 (32) ◽

pp. 8 ◽

Cited By ~ 3

Author(s):

Robert Weiss ◽

Andrew James Munoz ◽

Robert A. Dalrymple ◽

Alexis Herault ◽

Giuseppe Bilotta

Keyword(s):

Assessment Tool ◽

Graphics Processing Unit ◽

Laboratory Data ◽

Three Dimensional ◽

Processing Unit ◽

Wave Runup ◽

Tsunami Inundation ◽

Three Dimensional Modeling ◽

Particle Hydrodynamics ◽

Graphics Processing

Tsunamis need to be studied more carefully and quantitatively to fully understand their destructive impact on coastal areas. Numerical modeling provides an accurate and useful method to model tsunami inundations on a coastline. However, models must undergo a detailed verification and validation process to be used as an accurate hazard assessment tool. Using standards and procedures given by NOAA, a new code in hydrodynamic modeling called GPU-SPHysics can be verified and validated for use as a tsunami inundation model. GPU-SPHysics is a meshless, Lagrangian code that utilizes the computing power of the Graphics Processing Unit (GPU) to calculate high resolution hydrodynamic simulations using the equations given by Smooth Particle Hydrodynamics (SPH). GPU-SPHysics has proven to be an accurate tool in modeling complex tsunami inundations, such as the inundation on a conical island, when tested against extensive laboratory data.

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