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On the modelling turbulent transition in turbine cascades with flow separation
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SYSNO ASEP 0503135 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název On the modelling turbulent transition in turbine cascades with flow separation Tvůrce(i) Louda, Petr (UT-L) RID, ORCID
Příhoda, Jaromír (UT-L) RID, ORCIDZdroj.dok. Computers & Fluids. - : Elsevier - ISSN 0045-7930
Roč. 181, March (2019), s. 160-172Poč.str. 13 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova turbine cascade ; transition model ; separation bubble ; shock wave-boundary layer interaction Vědní obor RIV BK - Mechanika tekutin Obor OECD Applied mechanics CEP TH02020057 GA TA ČR - Technologická agentura ČR Způsob publikování Omezený přístup Institucionální podpora UT-L - RVO:61388998 UT WOS 000466824800012 EID SCOPUS 85060326345 DOI 10.1016/j.compfluid.2019.01.008 Anotace The work discusses performance, modification and implementation details of three intermittency based transition models. The intermittency is applied in the SST eddy viscosity turbulence model and in an explicit algebraic Reynolds stress model (EARSM). Experimental results of transonic flows through turbine cascades at different Reynolds numbers are used as test cases, where the interaction of shock wave with laminar or turbulent boundary layer can be distinguished and reproduced in simulations. Of the transition models tested, only the criteria based (gamma-zeta model captures well the influence of Reynolds number on the transition. The criterion for transition on separation bubble has been re-formulated so that the model is local in stream-wise direction and applicable also in 3D flows. The model is still non-local in wall- normal direction but this is found acceptable considering its performance and the fact that its evaluation is made fully automatic in the framework of structured multi-block solver. Pracoviště Ústav termomechaniky Kontakt Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Rok sběru 2020 Elektronická adresa https://www.sciencedirect.com/science/article/pii/S0045793019300064?via%3Dihub
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