PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics

Ramachandran, Prabhu; Bhosale, Aditya; Puri, Kunal; Negi, Pawan; Muta, Abhinav; Dinesh, A; Menon, Dileep V.; Govind, Rahul; Sanka, Suraj; Sebastian, Amal S; Sen, Ananyo; Kaushik, Rohan; Kumar, Anshuman; Kurapati, Vikas; Patil, Mrinalgouda; Tavker, Deep; Pandey, Pankaj; Kaushik, Chandrashekhar; Dutt, Arkopal; Agarwal, Amit

doi:10.1145/3460773

Cited by 32 publications

(14 citation statements)

References 66 publications

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“…A brief comparison of the superiorities and limitations between different parallelization frameworks is outlined in Table 2. [107,120], AQUAgpusph (OpenCL) [271], GPUSPH (CUDA) [108] and PySPH (CUDA) [272] (see Table 3 for more details). These packages can be conveniently coupled with other open-source code, providing powerful tools for the SPH community to simulate OEDs.…”

Section: Accelerating Sph Simulation With Graphics Processing Units (Gpus)mentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Accelerating Sph Simulation With Graphics Processing Units (Gpus)mentioning

confidence: 99%

“…DualSPHysics [107] CPU & GPU OpenMP & CUDA C++ GPUSPH [108] CPU & GPU MPI & CUDA C++ AQUAgpusph [271] CPU & GPU MPI & OpenCL C++ PySPH [272] CPU & GPU MPI & CUDA Python SPHinXsys [112] CPU TBB C++…”

Section: Packagesmentioning

confidence: 99%

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

et al. 2022

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“…For an overview of the PySPH design, see Ramachandran et al [50] and https://pysph.readthedocs.io for a detailed reference.…”

Section: Implementation In Pysphmentioning

confidence: 99%

“…We provide an open-source implementation based on the PySPH framework [49,50]. The source code can be obtained from https://gitlab.com/pypr/ asph_motion.…”

Section: Introductionmentioning

confidence: 99%

Parallel adaptive weakly-compressible SPH for complex moving geometries

Haftu,

Muta,

Ramachandran

2022

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The use of adaptive spatial resolution to simulate flows of practical interest using Smoothed Particle Hydrodynamics (SPH) is of considerable importance. Recently, Muta and Ramachandran [1] have proposed an efficient adaptive SPH method where the particle resolution may change by a factor of 1000 in the fluid. This allows the authors to simulate problems with much fewer particles than was possible earlier. The method was not demonstrated or tested with moving bodies or multiple bodies. In addition, the original method employed a large number of background particles to determine the spatial resolution of the fluid particles. In the present work we establish the formulation's effectiveness for simulating flow around stationary and moving geometries. We eliminate the need for the background particles in order to specify the geometry-based or solution-based adaptivity and we discuss the algorithms employed in detail. We consider a variety of benchmark problems, including the flow past two stationary cylinders, flow past different NACA airfoils at a range of Reynolds numbers, a moving square at various Reynolds numbers, and the flow past an oscillating cylinder. We also demonstrate different types of motions using single and multiple bodies. The source code is made available under an open source license, and our results are reproducible.

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“…and Here, it is convenient to define constants α m = m/2 and β n are the same as defined in (19). These new forms (30), (31) are substituted into the governing equations and Fourier analysed, as before. For the initial conditions (12), the spectral representation (31) is again used to generate initial forms C m,n (0) for the coefficients, to start the calculation.…”

Section: Asymmetric Profilesmentioning

confidence: 99%

An extended Boussinesq theory for interfacial fluid mechanics

2022

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Boussinesq theory can model quite accurately viscous flows that involve multiple fluids with interfaces between them, so long as there is not much difference between the densities of the various fluids. However, the Boussinesq approximation is generally poor when the density ratio between the fluids is large. Here, we propose an Extended Boussinesq approximate equation, that allows for large density ratios, while still remaining straightforward to implement. Examples are given for planar Rayleigh–Taylor instability, where the Boussinesq and the novel Extended Boussinesq models are compared with the predictions of an SPH fluid dynamics code, to confirm this approach.

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PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics

Cited by 32 publications

References 66 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

Parallel adaptive weakly-compressible SPH for complex moving geometries

An extended Boussinesq theory for interfacial fluid mechanics

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