Effects of Near Wall Modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) Methodology

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 predic...

Full description

Bibliographic Details
Main Authors: Rohit Saini, Nader Karimi, Lian Duan, Amsini Sadiki, Amirfarhang Mehdizadeh
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/10/771
_version_ 1811299492063870976
author Rohit Saini
Nader Karimi
Lian Duan
Amsini Sadiki
Amirfarhang Mehdizadeh
author_facet Rohit Saini
Nader Karimi
Lian Duan
Amsini Sadiki
Amirfarhang Mehdizadeh
author_sort Rohit Saini
collection DOAJ
description 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.
first_indexed 2024-04-13T06:36:40Z
format Article
id doaj.art-935bdcd01c22485fb5320f6b733749cb
institution Directory Open Access Journal
issn 1099-4300
language English
last_indexed 2024-04-13T06:36:40Z
publishDate 2018-10-01
publisher MDPI AG
record_format Article
series Entropy
spelling doaj.art-935bdcd01c22485fb5320f6b733749cb2022-12-22T02:57:54ZengMDPI AGEntropy1099-43002018-10-01201077110.3390/e20100771e20100771Effects of Near Wall Modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) MethodologyRohit Saini0Nader Karimi1Lian Duan2Amsini Sadiki3Amirfarhang Mehdizadeh4Civil and Mechanical Engineering Department, School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USACivil and Mechanical Engineering Department, School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USADepartment of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USADepartment of Mechanical Engineering, Institute of Energy and Power Plant Technology, Technische Universität Darmstadt, 64289 Darmstadt, GermanyCivil and Mechanical Engineering Department, School of Computing and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USAThe 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.http://www.mdpi.com/1099-4300/20/10/771hybrid (U)RANS-LESIDDES methodologyattached and separated flows
spellingShingle Rohit Saini
Nader Karimi
Lian Duan
Amsini Sadiki
Amirfarhang Mehdizadeh
Effects of Near Wall Modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) Methodology
Entropy
hybrid (U)RANS-LES
IDDES methodology
attached and separated flows
title Effects of Near Wall Modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) Methodology
title_full Effects of Near Wall Modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) Methodology
title_fullStr Effects of Near Wall Modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) Methodology
title_full_unstemmed Effects of Near Wall Modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) Methodology
title_short Effects of Near Wall Modeling in the Improved-Delayed-Detached-Eddy-Simulation (IDDES) Methodology
title_sort effects of near wall modeling in the improved delayed detached eddy simulation iddes methodology
topic hybrid (U)RANS-LES
IDDES methodology
attached and separated flows
url http://www.mdpi.com/1099-4300/20/10/771
work_keys_str_mv AT rohitsaini effectsofnearwallmodelingintheimproveddelayeddetachededdysimulationiddesmethodology
AT naderkarimi effectsofnearwallmodelingintheimproveddelayeddetachededdysimulationiddesmethodology
AT lianduan effectsofnearwallmodelingintheimproveddelayeddetachededdysimulationiddesmethodology
AT amsinisadiki effectsofnearwallmodelingintheimproveddelayeddetachededdysimulationiddesmethodology
AT amirfarhangmehdizadeh effectsofnearwallmodelingintheimproveddelayeddetachededdysimulationiddesmethodology