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[3] Lower-middle-resolution SPH simulations of a 2D dam-break flow against a vertical wall. Output data for H/dx=1600, 5M fluid particles

dataset
posted on 23.04.2021, 10:44 by Giordano LipariGiordano Lipari, Cornelis Vuik
This dataset is part of the collection 'High-resolution SPH simulations of a 2D dam-break flow against a vertical wall' at https://doi.org/10.4121/c.5353691

It contains the output of the simulation at the spatial resolution parameter H/dx=1600, out of the set (800,1600,3200,6400).
The files are the output of the pre-processing, proper-processing and post-processing stages of a simulation carried out with an slightly adapted version of the SPH solver DualSPHysics 5.0.
The files in this one dataset enable the user to inspect, visualise, reproduce, or restart simulations with 5M fluid particles.

Please privilege getting familiar with 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 for context and guidance on the simulations and organisation of all datasets. Reading the file Commentary.pdf first is strongly recommended. The images of all simulated fields are also provided there, which can help the users decide their best approach to the collection.

A specific README.txt file is part of this dataset.

When using this dataset, please cite the overarching collection instead: 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

Funding

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

History

Publisher

4TU.ResearchData

Format

Input files: xml (text) • Native DualSPHysics output files: bi4,ibi4,obi4 (binary) • Simulation log files: out (text) • ParaView data files: vtk (binary) • Compressed files: xz compression utility (binary)

Organizations

Numerical Analysis Group, Delft Institute of Applied Mathematics, Delft University of Technology