Effects of near wall modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) methodology

Saini, R., Karimi, N. , Duan, L., Sadiki, A. and Mehdizadeh, A. (2018) Effects of near wall modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) methodology. Entropy, 20(10), 771. (doi: 10.3390/e20100771)

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The present study aims to assess the effects of two different underlying RANS models on overall behavior of the IDDES methodology when applied to different flow configurations ranging from fully attached (plane channel flow) to separated flows (periodic hill flow). This includes investigating prediction accuracy of first and second order statistics, response to grid refinement, grey area dynamics and triggering mechanism. Further, several criteria have been investigated to assess reliability and quality of the methodology when operating in scale resolving mode. It turns out that irrespective of the near wall modeling strategy, the IDDES methodology does not satisfy all criteria required to make this methodology reliable when applied to various flow configurations at different Reynolds numbers with different grid resolutions. Further, it is found that using more advanced underlying RANS model to improve prediction accuracy of the near wall dynamics results in extension of the grey area, which may delay the transition to scale resolving mode. This systematic study for attached and separated flows suggests that the shortcomings of IDDES methodology mostly lie in inaccurate prediction of the dynamics inside the grey area and demands further investigation in this direction to make this methodology capable of dealing with different flow situations reliably.

Item Type:Articles
Additional Information:The authors gratefully acknowledge the financial support provided by the University of Missouri Research Board (UMRB).
Glasgow Author(s) Enlighten ID:Karimi, Dr Nader
Authors: Saini, R., Karimi, N., Duan, L., Sadiki, A., and Mehdizadeh, A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Entropy
ISSN (Online):1099-4300
Published Online:08 October 2018
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Entropy 20:771
Publisher Policy:Reproduced under a Creative Commons License

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