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Procedia Computer Science
Article . 2017 . Peer-reviewed
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Procedia Computer Science
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Large Scale Simulation of Cloud Cavitation Collapse

Authors: Ursula Rasthofer; Fabian Wermelinger; P. Hadijdoukas; Petros Koumoutsakos;

Large Scale Simulation of Cloud Cavitation Collapse

Abstract

We present a high performance computing framework for large scale simulation of compressible multicomponent flows, applied to cloud cavitation collapse. The governing equations are discretized by a Godunov-type finite volume method on a uniform structured grid. The bubble interface is captured by a diffuse interface method and treated as a mixing region of the liquid and gas phases. The framework is based on our Cubism library which enables the efficient treatment of high-order compact stencil schemes that can harness the capabilities of massively parallel computer architectures and allows for processing up to 1013 computational cells. We present validations of our approach on several classical benchmark examples and study the collapse of a cloud of O(103) bubbles.

Procedia Computer Science, 108

ISSN:1877-0509

Country
Switzerland
Related Organizations
Keywords

high performance computing, compressible multicomponent flow, cloud cavitation, diffuse interface method; high performance computing; bubble collapse; cloud cavitation; compressible multicomponent flow, bubble collapse, diffuse interface method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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