A New Parallel Framework of SPH-SWE for Dam Break Simulation Based on OpenMP

Abstract

Due to its Lagrangian nature, Smoothed Particle Hydrodynamics (SPH) has been used to solve a variety of fluid-dynamic processes with highly nonlinear deformation such as debris flows, wave breaking and impact, multi-phase mixing processes, jet impact, flooding and tsunami inundation, and fluid–structure interactions. In this study, the SPH method is applied to solve the two-dimensional Shallow Water Equations (SWEs), and the solution proposed was validated against two open-source case studies of a 2-D dry-bed dam break with particle splitting and a 2-D dam break with a rectangular obstacle downstream. In addition to the improvement and optimization of the existing algorithm, the CPU-OpenMP parallel computing was also implemented, and it was proven that the CPU-OpenMP parallel computing enhanced the performance for solving the SPH-SWE model, after testing it against three large sets of particles involved in the computational process. The free surface and velocities of the experimental flows were simulated accurately by the numerical model proposed, showing the ability of the SPH model to predict the behavior of debris flows induced by dam-breaks. This validation of the model is crucial to confirm its use in predicting landslides’ behavior in field case studies so that it will be possible to reduce the damage that they cause. All the changes made in the SPH-SWEs method are made open-source in this paper so that more researchers can benefit from the results of this research and understand the characteristics and advantages of the solution proposed.

Publication DOI: https://doi.org/10.3390/w12051395
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering
Aston University (General)
Funding Information: This work was supported by the following projects: National Key R&D Program of China (No. 2017YFC0404303), National Natural Science Foundation of China (No.51869025, 51769028, 51868066), Qinghai Science and Technology Projects (No. 2018-ZJ-710), Youth Fun
Additional Information: Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: SDG 9 - Industry, Innovation, and Infrastructure
Publication ISSN: 2073-4441
Last Modified: 09 Dec 2024 09:16
Date Deposited: 17 Oct 2024 14:28
Full Text Link:
Related URLs: https://www.mdp ... -4441/12/5/1395 (Publisher URL)
PURE Output Type: Article
Published Date: 2020-05
Published Online Date: 2020-05-14
Accepted Date: 2020-05-07
Authors: Wu, Yushuai
Tian, Lirong
Rubinato, Matteo (ORCID Profile 0000-0002-8446-4448)
Gu, Shenglong
Yu, Teng
Xu, Zhongliang
Cao, Peng
Wang, Xuhao
Zhao, Qinxia

Download

[img]

Version: Published Version

License: Creative Commons Attribution

| Preview

Export / Share Citation


Statistics

Additional statistics for this record