Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/43615

TitleHigh-accurate SPH method with Multidimensional Optimal Order Detection limiting
Author(s)Nogueira, Xesús
Ramı́rez, Luis
Clain, Stéphane
Loubère, Raphaël
Cueto-Felgueroso, Luis
Colominas, Ignasi
KeywordsHigh-order methods
Smooth Particle Hydrodynamics
Meshless methods
Multi-dimensional Optimal Order Detection
Moving Least Squares
Issue date2016
PublisherElsevier
JournalComputer Methods in Applied Mechanics and Engineering
Abstract(s)We present a new high-accurate, stable and low-dissipative Smooth Particle Hydrodynamics (SPH) method based on Riemann solvers. The method derives from the SPH-ALE formulation first proposed by Vila and Ben Moussa. Moving Least Squares approximations are used for the reconstruction of the variables and the computation of Taylor expansions. The stability of the scheme is achieved by the a posteriori Multi-dimensional Optimal Order Detection (MOOD) paradigm. Such a procedure enables to provide genuine gains in accuracy both for one- and two-dimensional problems involving non-smooth flows when compared to classical SPH methods.
TypeArticle
URIhttp://hdl.handle.net/1822/43615
DOI10.1016/j.cma.2016.06.032
ISSN0045-7825
Publisher versionwww.sciencedirect.com
Peer-Reviewedyes
AccessRestricted access (Author)
Appears in Collections:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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