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Effects of near wall modeling in the improved-delayed-detached-Eddy-simulation (IDDES) methodology

Saini, Rohit ; Karimi, Nader ; Duan, Lian ; Sadiki, Amsini ; Mehdizadeh, Amirfarhang (2018)
Effects of near wall modeling in the improved-delayed-detached-Eddy-simulation (IDDES) methodology.
In: Entropy, 20 (10)
doi: 10.3390/e20100771
Article, Bibliographie

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Abstract

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: Article
Erschienen: 2018
Creators: Saini, Rohit ; Karimi, Nader ; Duan, Lian ; Sadiki, Amsini ; Mehdizadeh, Amirfarhang
Type of entry: Bibliographie
Title: Effects of near wall modeling in the improved-delayed-detached-Eddy-simulation (IDDES) methodology
Language: English
Date: 2018
Place of Publication: Basel
Publisher: MDPI
Journal or Publication Title: Entropy
Volume of the journal: 20
Issue Number: 10
Collation: 39 Seiten
DOI: 10.3390/e20100771
Corresponding Links:
Abstract:

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.

Uncontrolled Keywords: hybrid (U)RANS-LES, IDDES methodology, attached and separated flows
Additional Information:

This article belongs to the Special Issue Intermittency and Self-Organisation in Turbulence and Statistical Mechanics

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Energy and Power Plant Technology (EKT)
Date Deposited: 17 Jan 2024 09:13
Last Modified: 17 Jan 2024 09:13
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