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Modelling spanwise heterogeneous roughness through a parametric forcing approach

Schäfer, K. ORCID iD icon; Stroh, A.; Forooghi, P.; Frohnapfel, B. ORCID iD icon

Abstract:

Inhomogeneous rough surfaces in which strips of roughness alternate with smooth-wall strips are known to generate large-scale secondary motions. Those secondary motions are strongest if the strip width is of the order of the half-channel height and they generate a spatial wall shear stress distribution whose mean value can significantly exceed the area-averaged mean value of a homogeneously smooth and rough surface. In the present paper it is shown that a parametric forcing approach (Busse & Sandham, J. Fluid Mech., vol. 712, 2012, pp. 169–202; Forooghi et al., Intl J. Heat Fluid Flow, vol. 71, 2018, pp. 200–209), calibrated with data from turbulent channel flows over homogeneous roughness, can capture the topological features of the secondary motion over protruding and recessed roughness strips (Stroh et al., J. Fluid Mech., vol. 885, 2020, R5). However, the results suggest that the parametric forcing approach roughness model induces a slightly larger wall offset when applied to the present heterogeneous rough-wall conditions. Contrary to roughness-resolving simulations, where a significantly higher resolution is required to capture roughness geometry, the parametric forcing approach can be applied with usual smooth-wall direct numerical simulation resolution resulting in less computationally expensive simulations for the study of localized roughness effects. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000140514
Veröffentlicht am 03.12.2021
Originalveröffentlichung
DOI: 10.1017/jfm.2021.850
Scopus
Zitationen: 14
Web of Science
Zitationen: 9
Dimensions
Zitationen: 16
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Strömungsmechanik (ISTM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 0022-1120, 1469-7645, 1750-6859
KITopen-ID: 1000140514
Erschienen in Journal of Fluid Mechanics
Verlag Cambridge University Press (CUP)
Band 930
Seiten A7
Nachgewiesen in Dimensions
Web of Science
Scopus
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