On the benefits of ODT-based stochastic turbulence modeling

Autor:	Falko T. Meiselbach, Heiko Schmidt, Zoltan Jozefik, Alan R. Kerstein, Christoph Glawe
Rok vydání:	2014
Předmět:	Computer science Turbulence Scale separation Range (statistics) Turbulence modeling Statistical physics Reynolds-averaged Navier–Stokes equations
Zdroj:	PAMM. 14:655-656
ISSN:	1617-7061
DOI:	10.1002/pamm.201410311
Popis:	We summarize the group's progress in applying, analyzing, and improving ODT and ODT-based stochastic turbulence models like ODTLES. Compared to DNS these models span a wider range of scales while compared to RANS/LES (i) the molecular effects are retained and (ii) no assumption of scale separation is made. In this regard ODTLES has more properties of DNS than of standard LES. (© 2014 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)
Databáze:	OpenAIRE
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