automan: A Python-Based Automation Framework for Numerical Computing

Ramachandran, Prabhu

doi:10.1109/mcse.2018.05329818

Cited by 25 publications

(17 citation statements)

References 10 publications

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“…All the results presented below are automated and the code for the benchmarks is available at https://gitlab.com/pypr/dtsph. The tools used to automate the results are described in detail in [17]. This allows us to automatically reproduce every figure and table in this manuscript.…”

Section: Resultsmentioning

confidence: 99%

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Dual-Time Smoothed Particle Hydrodynamics for Incompressible Fluid Simulation

Ramachandran,

Muta,

Mokkapati

2019

Preprint

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In this paper we propose a dual-time stepping scheme for the Smoothed Particle Hydrodynamics (SPH) method. Dual-time stepping has been used in the context of other numerical methods for the simulation of incompressible fluid flows. Here we provide a carefully derived scheme suitable for implementation in time-accurate SPH simulations. We demonstrate several benchmarks showing the applicability of the scheme. The method is accurate, robust, and demonstrates up to an order of magnitude better performance than the standard weakly-compressible formulation. In addition, we provide a completely open source implementation and a reproducible manuscript.

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Section: Resultsmentioning

confidence: 99%

“…Our implementation uses the open source PySPH framework [16] and all the code related to the manuscript is available at https://gitlab.com/pypr/dtsph. In order to facilitate reproducible research, this entire manuscript is completely reproducible and every figure in this paper is automatically generated [17].…”

Section: Introductionmentioning

confidence: 99%

Dual-Time Smoothed Particle Hydrodynamics for Incompressible Fluid Simulation

Ramachandran,

Muta,

Mokkapati

2019

Preprint

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“…Once these test cases are simulated we demonstrate the best of these methods for an impulsively started flow past a circular cylinder at different Reynolds numbers. As mentioned earlier, every figure in this section is generated automatically [32] and this makes it possible for anyone to reproduce the manuscript. The code is made available at https://gitlab.com/pypr/inlet_outlet.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, in the interest of reproducible research, our entire manuscript is reproducible. Every figure presented in the results section of this manuscript is automated [32] and the entire code for the computations is made available at https://gitlab.com/pypr/inlet_outlet. In the next section, we describe the SPH scheme we employ in some detail.…”

Section: Introductionmentioning

confidence: 99%

An improved non-reflecting outlet boundary condition for weakly-compressible SPH

Negi,

Ramachandran,

Haftu

2019

Preprint

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Implementation of an accurate outlet boundary condition is challenging in the context of the weakly-compressible Smoothed Particle Hydrodynamics method. We perform a systematic numerical study of several of the available techniques for the outlet boundary condition. We propose a new hybrid approach that combines a characteristics-based method with a simpler frozenparticle (do-nothing) technique to accurately satisfy the outlet boundary condition in the context of wind-tunnel-like simulations. In addition, we suggest some improvements to the do-nothing approach. We introduce a new suite of test problems that make it possible to compare these techniques carefully. We then simulate the flow past a circular cylinder and demonstrate our improvements. The resulting improvements allow us to obtain accurate results with an order of magnitude less particles than those presented in recent research. We provide a completely open source implementation and a reproducible manuscript.

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“…The source code can be obtained from https://gitlab.com/pypr/ asph_motion. The manuscript is reproducible and each figure is automatically generated through the use of an automation framework [51].…”

Section: Introductionmentioning

confidence: 99%

Parallel adaptive weakly-compressible SPH for complex moving geometries

Haftu,

Muta,

Ramachandran

2022

Preprint

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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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automan: A Python-Based Automation Framework for Numerical Computing

Cited by 25 publications

References 10 publications

Dual-Time Smoothed Particle Hydrodynamics for Incompressible Fluid Simulation

Dual-Time Smoothed Particle Hydrodynamics for Incompressible Fluid Simulation

An improved non-reflecting outlet boundary condition for weakly-compressible SPH

Parallel adaptive weakly-compressible SPH for complex moving geometries

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