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

6 Scopus citations


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
Number of pages12
StatePublished - 2019
EventAIAA Aviation 2019 Forum - Dallas, United States
Duration: Jun 17 2019Jun 21 2019

Publication series

NameAIAA Aviation 2019 Forum


ConferenceAIAA Aviation 2019 Forum
Country/TerritoryUnited States

Bibliographical note

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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