Assessment of the elliptic blending reynolds stress model for a rotating turbulent pipe flow using new dns data

Neil Ashton, Jefferson Davis, Christoph Brehm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

New direct numerical simulation data of a fully-developed axially rotating pipe at Re = 5300 and Re = 19, 000 is used to examine the performance of the second-moment closure elliptic blending Reynolds stress model for a range of rotation rates from N=0 to N=3. In agreement with previous studies (using alternative second-moment closure models), the turbulence suppression observed by the DNS is over-predicted. This over-prediction is greatest at Re = 5, 300 and most noticeable in the poor prediction of the u w turbulent shear-stress component. At N=3 the flow is completely relaminarized in contrast to the DNS that is only partly relaminarized. The accuracy of the second-moment closure model is superior to the two-equation k − ω SST model which predicts pure solid-body rotation, however, both are equally poor at the highest rotation rates. The accuracy of each model is also assessed for the initial portion of a rotating pipe where in contrast to the fully-developed rotating pipe flow the turbulent suppression is under-predicted compared to the DNS. It is clear that greater work is required to understand the root cause of the poor prediction by these second-moment closure models and further DNS and experimental work is underway to assist this effort.

Original languageEnglish
Title of host publicationAIAA Aviation 2019 Forum
Pages1-12
Number of pages12
DOIs
StatePublished - 2019
EventAIAA Aviation 2019 Forum - Dallas, United States
Duration: Jun 17 2019Jun 21 2019

Publication series

NameAIAA Aviation 2019 Forum

Conference

ConferenceAIAA Aviation 2019 Forum
Country/TerritoryUnited States
CityDallas
Period6/17/196/21/19

Bibliographical note

Funding Information:
The authors would like to acknowledge the use of the University of Oxford Advanced Research Computing (ARC) facility in carrying out this work. Special thanks to Michael Olsen (NASA Ames Research Center), Chris Rumsey (NASA Langley Research Center) and Professor Svetlana Poroseva (University of New Mexico) for their helpful discussions on this work. Particular thanks goes to Professor Michael Stoellinger (University of Wyoming) for prior work on the EBRSM-ϵh model and this test-case. JD and CB gratefully acknowledge funding from the National Science Foundation under award CBET-1706346 with Dr. R.Joslin as Program Manager. Part of his research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562. Research was conducted using the Stampede2 and Comet HPC systems through allocation TG-CTS180008.

Funding Information:
For this reason, a new experimental and numerical campaign has begun by the authors and colleagues under a National Science Foundation grant (awards OCI-0725070 and ACI-1238993) to conduct DNS and experiments of a complete stationary and rotating pipe up to x/D = 200. In this work, we discuss the initial DNS data up to Re = 19, 000 for a fully-developed rotating pipe (see Davis et al.21 for complete details of these initial results). The complete stationary-to-rotating pipe will be conducted over the coming 12 months and will be subject of future papers.

Funding Information:
The authors would like to acknowledge the use of the University of Oxford Advanced Research Computing (ARC) facility in carrying out this work. Special thanks to Michael Olsen (NASA Ames Research Center), Chris Rumsey (NASA Langley Research Center) and Professor Svetlana Poroseva (University of New Mexico) for their helpful discussions on this work. Particular thanks goes to Professor Michael Stoellinger (University of Wyoming) for prior work on the EBRSM-?h model and this test-case. JD and CB gratefully acknowledge funding from the National Science Foundation under award CBET-1706346 with Dr. R.Joslin as Program Manager. Part of his research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562. Research was conducted using the Stampede2 and Comet HPC systems through allocation TG-CTS180008.

Publisher Copyright:
© 2019 American Institute of Aeronautics and Astronautics. All rights reserved.

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Aerospace Engineering

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