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High-accurate SPH method with multidimensional optimal order detection limiting
Citation
Nogueira, Xesús and Ramírez, Luis and Clain, Stéphane and Loubère, Raphaël and Cueto-Felgueroso Landeira, Luis and Colominas Ezponda, Ignasi (2016). High-accurate SPH method with multidimensional optimal order detection limiting. "Computer Methods in Applied Mechanics and Engineering", v. 310 ; pp. 134-155. ISSN 0045-7825. https://doi.org/10.1016/j.cma.2016.06.032.
Description
| Title: | High-accurate SPH method with multidimensional optimal order detection limiting |
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| Author/s: |
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| Item Type: | Article |
| Título de Revista/Publicación: | Computer Methods in Applied Mechanics and Engineering |
| Date: | October 2016 |
| ISSN: | 0045-7825 |
| Volume: | 310 |
| Subjects: | |
| Freetext Keywords: | High-order methods; Smooth particle hydrodynamics; Meshless methods; Multi-dimensional optimal order detection; Moving least squares |
| Faculty: | E.T.S.I. Caminos, Canales y Puertos (UPM) |
| Department: | Ingeniería Civil: Hidráulica, Energía y Medio Ambiente |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
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.
Funding Projects
| Type | Code | Acronym | Leader | Title |
|---|---|---|---|---|
| Government of Spain | DPI2015-68431-R | Unspecified | Fermín Luis Navarrina Martínez | Diseño óptimo de instalaciones y sistemas energéticos off-shore mediante técnicas de mecánica computacional de alta precisión |
More information
| Item ID: | 45934 |
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| DC Identifier: | http://oa.upm.es/45934/ |
| OAI Identifier: | oai:oa.upm.es:45934 |
| DOI: | 10.1016/j.cma.2016.06.032 |
| Official URL: | http://www.sciencedirect.com/science/article/pii/S0045782516306697 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 31 May 2017 12:58 |
| Last Modified: | 20 Mar 2019 14:23 |
