High-resolution SPH simulations of a 2D dam-break flow against a vertical wall

Posted on 26.05.2022 - 05:43 authored by Giordano Lipari

This collection contains simulations at four spatial resolutions of the benchmark solution of the 2D dam break impinging against a vertical wall used by D.D. Meringolo, S. Marrone, A. Colagrossi and Y. Liu. See "A dynamic δ-SPH model: how to get rid of diffusive parameter tuning" in Computers and Fluids, 2019, 179:334-355 (see References below).


The simulations implement a Smoothed Particle Hydrodynamics methodology for weakly compressible flow. The simulations in the individual datasets have spatial resolutions of the initial water column of 800, 1600, 3200 and 6400 particles, leading to total fluid-particle counts from 1M to 82M. The solver used is DualSPHysics 5.0 and the simulations have been performed on compute-capable GPUs.


Weakly compressible SPH is a computationally intensive and computationally demanding technique. Obtaining high-resolution data sets can be either difficult, impractical or unaffordable for many scholars and practitioners.


This collection provides data of an established benchmark usable, among other uses, for dissemination, visualisation, refined or extended `hot starts', comparisons of behaviours and results after different parameter settings and across different solvers.


This collection gathers five datasets. It is highly recommended to get started with the file Commentary.pdf distributed in the entry-point dataset "[0] SPH simulations of a 2D dam-break flow against a vertical wall. General information on the collection" at https://doi.org/10.4121/14309240.


The References below contain a link to a YouTube playlist rendering the fields of flow quantities at the dataset resolutions.


CITE THIS COLLECTION

Lipari, Giordano; Vuik, Cornelis (2021): High-resolution SPH simulations of a 2D dam-break flow against a vertical wall. 4TU.ResearchData. Collection. https://doi.org/10.4121/c.5353691.v5
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FUNDING

"GPU acceleration and numerical optimization for SPH" • funding: Shell India Markets Private Limited; Delft Institute of Applied Mathematics.

Publisher

4TU.ResearchData

Organizations

Numerical Analysis Group, Delft Institute for Applied Mathematics, Delft University of Technology, The Netherlands

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