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Improved particle shifting technology and optimized free-surface detection method for free-surface flows in smoothed particle hydrodynamics.

Authors :
Wang, Ping-Ping
Meng, Zi-Fei
Zhang, A-Man
Ming, Fu-Ren
Sun, Peng-Nan
Source :
Computer Methods in Applied Mechanics & Engineering. Dec2019, Vol. 357, pN.PAG-N.PAG. 1p.
Publication Year :
2019

Abstract

This paper presents an improved particle shifting technology (IPST) for smoothed particle hydrodynamics (SPH). It allows particles in the vicinity of the free-surface to be shifted in all the directions in case they are not uniformly distributed, rather than just shifted tangentially to the free-surface in some conventional particle shifting technologies. Therefore, with the new technique, the imprecise shifting due to the inaccurate evaluations of the local normal and tangential vectors of the free-surface can be avoided, and a more uniform particle distribution near the free-surface can be obtained even for long-term simulations, which improves the accuracy and stability of the SPH method. Besides, by combining the advantages of two existing free-surface detection methods, an optimized detection approach is provided. It is capable of detecting the free-surface particles accurately, and meanwhile, it is easier to implement and requires lower computational costs, especially for three-dimensional problems. Several numerical tests show that the proposed IPST and the optimized free-surface detection method are robust and accurate for the simulation of a variety of free-surface flows. • An improved particle shifting technology (IPST) in the SPH method is proposed. • An optimized free-surface detection method in SPH is introduced. • The accuracy and robustness of the proposed IPST is validated on several long-term simulations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457825
Volume :
357
Database :
Academic Search Index
Journal :
Computer Methods in Applied Mechanics & Engineering
Publication Type :
Academic Journal
Accession number :
139142329
Full Text :
https://doi.org/10.1016/j.cma.2019.112580