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Coastal Engineering Proceedings
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Coastal Engineering Proceedings
Article
License: CC BY
Data sources: UnpayWall
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SIMULATING BREAKING WAVES WITH THE REYNOLDS STRESS TURBULENCE MODEL

Authors: Li, Yuzhu; Bechmann Fredberg, Martin; Larsen, Bjarke Eltard; Fuhrman, David R.;

SIMULATING BREAKING WAVES WITH THE REYNOLDS STRESS TURBULENCE MODEL

Abstract

The present study formally proved that Reynolds stress models (RSMs) are unconditionally stable in the potential flow regions. RSMs resolve all components of the Reynolds stress, eliminating e.g. the assumed isotropy of turbulence inherent within two-equation models. The present study implemented and applied Wilcox stress-omega turbulence model for simulating breaking waves. It shows that the Wilcox stress-omega turbulence model can predict accurate results from pre-breaking all the way into the inner surf zone, especially for the undertow velocity profiles in the inner surf zone, which even stabilized two-equation models fails to accurately predict.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/hZqqlGbHpkA

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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!
2
Average
Average
Average
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gold