Zhentong Wang, Chi Zhang, Oskar J. Haidn, Nikolaus A. Adams, Xiangyu Hu
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引用次数: 0
Abstract
Eulerian smoothed particle hydrodynamics (Eulerian SPH) is considered a potential meshless alternative to a traditional Eulerian mesh-based finite volume method (FVM) in computational fluid dynamics (CFD). While researchers have analyzed the differences between these two methods, a rigorous comparison of their performance and computational efficiency is hindered by the following two challenges: Firstly, the Eulerian SPH framework faces a constraint related to the normal direction of interfaces in pairwise particle interactions, which prevents achieving an equivalent algorithm of FVM; Secondly, there is no unified solver available that can be applied to both Eulerian SPH and FVM methods. To address the former constraint, this paper implements a certain form of Eulerian SPH method, where a kernel gradient correction is introduced to release the constraint. To address the latter constraint, the paper realizes the mesh-based FVM within an open-source SPH library using a shared solver, i.e. single algorithm for two methods, through developing a parser that extracts necessary information from the “.msh” format file exported from a commercial pre-processing tool, ICEM (Integrated Computer Engineering and Manufacturing). Several 2D and 3D numerical simulations using both methods within a unified codebase demonstrate that compared to the mesh-based FVM, the Eulerian SPH achieves smoother results and, when using a high-order kernel, a faster convergence rate, but at the cost of lower computational efficiency.
期刊介绍:
The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper.
Computer Programs in Physics (CPiP)
These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged.
Computational Physics Papers (CP)
These are research papers in, but are not limited to, the following themes across computational physics and related disciplines.
mathematical and numerical methods and algorithms;
computational models including those associated with the design, control and analysis of experiments; and
algebraic computation.
Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.