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

doi: 10.4121/c.5353691.v5
The doi above is for this specific version of this collection, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/c.5353691
Datacite citation style:
Lipari, Giordano; Cornelis Vuik (2022): High-resolution SPH simulations of a 2D dam-break flow against a vertical wall. Version 5. 4TU.ResearchData. collection. https://doi.org/10.4121/c.5353691.v5
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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.

  • 2021-04-23 first online
  • 2022-05-26 published, posted, revised
  • "GPU acceleration and numerical optimization for SPH" • funding: Shell India Markets Private Limited; Delft Institute of Applied Mathematics.
Numerical Analysis Group, Delft Institute for Applied Mathematics, Delft University of Technology, The Netherlands