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International Journal for Multiscale Computational Engineering
Facteur d'impact: 1.016 Facteur d'impact sur 5 ans: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN Imprimer: 1543-1649
ISSN En ligne: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.2012003264
pages 375-390


James E. Hilton
CSIRO Mathematics, Informatics and Statistics, Clayton, Victoria 3169, Australia
Paul W. Cleary
CSIRO Mathematics, Informatics and Statistics, Clayton, Victoria 3169, Australia


Large-scale prediction of events such as coastal inundation, flooding, and dam collapse is becoming increasingly necessary from both a geophysical and geoengineering standpoint. Current computational models can only capture large-scale flow events and are unable to resolve three-dimensional mesoscale local flow features. We present a multiscale coupled fluid method, with large-scale flow over the full domain coupled with a smaller-scale model to more accurately resolve local flow features in regions of interest. The macroscale model uses a finite volume method based on the shallow water (SW) formulation. This is coupled to a mesoscale smoothed particle hydrodynamics (SPH) method for solving the three-dimensional Navier-Stokes equations for the fluid flow. We show the viability of this multiscale method for predicting both large-scale and smaller-scale flow effects in geophysical flow applications.


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