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Review of the shear-stress transport turbulence model experience from an industrial perspective

Menter, Florian R.·2009·International Journal of Computational Fluid Dynamics

Abstract

The present author was asked to provide an update on the status and the more recent developments around the shear-stress transport (SST) turbulence model for this special issue of the journal. The article is therefore not intended as a comprehensive overview of the status of engineering turbulence modelling in general, nor on the overall turbulence modelling strategy for ANSYS computational fluid dynamics (CFD) in particular. It is clear from many decades of turbulence modelling that no single model – nor even a single modelling approach – can solve all engineering flows. Any successful CFD code will therefore have to offer a wide range of models from simple Eddy-viscosity models through second moment closures all the way to the variety of unsteady modelling concepts currently under development. This article is solely intended to outline the role of the concepts behind the SST model in current and future CFD simulations of engineering flows.

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Metadata

Authors
Menter, F. R.
Venue
International Journal of Computational Fluid Dynamics
Published
2009-01-01
Volume
23
Issue
4
Pages
305-316
ISSN
  • 1026-7417 (ISSN-L)
  • 1061-8562
  • 1029-0257
OpenAlex
W1982982665
Cited by
1,053
References
1
FWCI
10.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Review of the shear-stress transport turbulence model experience from an industrial perspective. https://app.cochat.ai/papers/10.1080/10618560902773387
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Menter, F. R. (2009). Review of the shear-stress transport turbulence model experience from an industrial perspective. International Journal of Computational Fluid Dynamics. https://doi.org/10.1080/10618560902773387

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.