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A Particle-based Method for Large-scale breaking Waves Simulation

Authors :: Emmanuelle Darles
Djamchid Ghazanfarpour
Benoît Crespin
Vieceli, Yolande
SIC
XLIM (XLIM)
Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers
DMI
Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)
Leonard Bolc
Ryszard Tadeusiewicz
Leszek J. Chmielewski
and Konrad Wojciechowski
Source :: Computer Vision and Graphics ISBN: 9783642159091, ICCVG (1), Machine Graphics & Vision, Machine Graphics & Vision, Instytut podstaw informatyki (Pologne), 2011, 20 (1), pp.3-25, Computer vision and graphics. Lecture Notes in Computer Science, International Conference on Computer Vision and Graphics ICCVG 2010, International Conference on Computer Vision and Graphics ICCVG 2010, Sep 2010, Warsaw, Poland. pp.316-323, ⟨10.1007/978-3-642-15910-7_36⟩
Publication Year :: 2011
Publisher :: HAL CCSD, 2011.
Abstract: International audience; In this paper we address the problem of particle-based simulation of breaking waves. We present a new set of equations based on oceanographic research which allow us to deal with several types of breaking waves and multiple wave trains with full control over the governing parameters. Sprays are generated by explicitly computing sub-particle systems depending on the local motion caused by plunging. In order to reduce computations in non-significant areas, we also describe a simple and efficient multiresolution scheme based on the properties of our breaking wave model.

Subjects :: Scale (ratio)
Computer science
business.industry
Breaking wave
020207 software engineering
02 engineering and technology
01 natural sciences
Set (abstract data type)
Simple (abstract algebra)
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Particle
14. Life underwater
Statistical physics
Artificial intelligence
business
010303 astronomy & astrophysics
ComputingMilieux_MISCELLANEOUS
Simulation

Details

Language :: English
ISBN :: 978-3-642-15909-1
ISSN :: 12300535
ISBNs :: 9783642159091
Database :: OpenAIRE
Journal :: Computer Vision and Graphics ISBN: 9783642159091, ICCVG (1), Machine Graphics & Vision, Machine Graphics & Vision, Instytut podstaw informatyki (Pologne), 2011, 20 (1), pp.3-25, Computer vision and graphics. Lecture Notes in Computer Science, International Conference on Computer Vision and Graphics ICCVG 2010, International Conference on Computer Vision and Graphics ICCVG 2010, Sep 2010, Warsaw, Poland. pp.316-323, ⟨10.1007/978-3-642-15910-7_36⟩
Accession number :: edsair.doi.dedup.....a244636afc06cb180760ea71501c9a02
Full Text :: https://doi.org/10.1007/978-3-642-15910-7_36⟩