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Articles

One-dimensional turbulence modelling of incompressible temporally developing turbulent boundary layers with comparison to DNS

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 506-543 | Received 05 Aug 2018, Accepted 29 Aug 2019, Published online: 09 Oct 2019
 

ABSTRACT

The incompressible temporally developing turbulent boundary layer (TBL) is analysed using the map-based stochastic one-dimensional turbulence (ODT) model. The TBL is a canonical flow problem, which is, in the present study, formed by a planar moving wall and a free stream at rest. An understanding of this idealised flow is of fundamental relevance for the numerical analysis of turbulent boundary-layer-type flows. In the present ODT simulations, the flow variables are resolved on all scales along a wall-normal, one-dimensional domain. These variables are evolved by a deterministic and a stochastic process. The latter models the effect of turbulent advection and pressure fluctuations, whereas the former represents molecular diffusion. The model is appropriate for high Reynolds numbers for which the turbulence field exhibits a broad range of scales and is notionally featureless. We show that ODT is able to capture salient features of the TBL by comparing the various statistics with available reference direct numerical simulation (DNS) results for different bulk Reynolds numbers in the range 250Reb2000 using fixed model parameters. The influence of the model parameters is analysed for Reb=1000 and optimal parameter values are provided. The results discussed in this paper suggest that ODT is an economical and reasonably accurate approach for the simulation of transient turbulent boundary-layer-type flows.

Acknowledgements

We thank two anonymous reviewers for their constructive criticism and detailed discussions that have improved the quality of this work.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

R. and H.S. acknowledge financial support from the Graduate Research School (GRS) of the BTU Cottbus-Senftenberg, Cluster StochMethod SP7, ‘Stochastic Modelling of Turbulent Flow’.

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