Weaver, T. and Xiao, Z., 2016. Fluid Simulation by the Smoothed Particle Hydrodynamics Method: A Survey. In: 11th International Conference on Computer Graphics Theory and Application (GRAPP 2016), 27 - 29 February 2016, Rome, Italy, 215-225.
Full text available as:
|
PDF
2016 Fluid simulation.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 471kB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
Abstract
This paper presents a survey of Smoothed Particle Hydrodynamics (SPH) and its use in computational fluid dynamics. As a truly mesh-free particle method based upon the Lagrangian formulation, SPH has been applied to a variety of different areas in science, computer graphics and engineering. It has been established as a popular technique for fluid based simulations, and has been extended to successfully simulate various phenomena such as multi-phase flows, rigid and elastic solids, and fluid features such as air bubbles and foam. Various aspects of the method will be discussed: Similarities, advantages and disadvantages in comparison to Eulerian methods; Fundamentals of the SPH method; The use of SPH in fluid simulation; The current trends in SPH. The paper ends with some concluding remarks about the use of SPH in fluid simulations, including some of the more apparent problems, and a discussion on prospects for future work.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Uncontrolled Keywords: | SPH; Computer Graphics; GPU; CUDA; CFD; Physically-based simulation; Fluid simulation. |
Group: | Faculty of Media & Communication |
ID Code: | 23384 |
Deposited By: | Symplectic RT2 |
Deposited On: | 11 Apr 2016 08:37 |
Last Modified: | 14 Mar 2022 13:55 |
Downloads
Downloads per month over past year
Repository Staff Only - |