Dynamic hybrid RANS/LES assessment of sound generation and propagation from flow over a circular cylinder

Xiao Wang, Shanti Bhushan, Bukhari Manshoor, Edward Luke, Adrian Sescu, Yuji Hattori, David Thompson, Keith Walters

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

1 Citation (Scopus)


Simulations are performed for flow over circular cylinder at M = 0.2, Re = 5000 to assess the predictive capability of turbulence models and numerical schemes available in Loci-CHEM for the farfield acoustics predictions. A complimentary DNS is also performed for validation. Grid and time step study shows that a grid consisting of 7.5M cells and a non-dimensional time step size of 0.165 is sufficient for the hybrid RANS-LES simulations. Results demonstrate that numerical schemes and turbulence models play a critical role in the acoustics generation and propagation. Low-dissipation optimization gradient reconstruction (OGRE) scheme is found to be suitable for the acoustics predictions, but turbulence models show large differences. SST predicts only large-scale fluctuations. Dynamic hybrid RANS-LES (DHRL) performs better than hybrid RANS-LES (HRL) for the prediction of flow separation and turbulent coherent structures, but acoustics predictions are similar to URANS. HRL is found to be under predictive for acoustics predictions. MILES performs the best, suggesting that turbulence models are too dissipative. The future research will focus on implementation and assessment of wall-modeled LES models to improve the predictions.

Original languageEnglish
Title of host publication2018 AIAA/CEAS Aeroacoustics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105609
Publication statusPublished - 2018
EventAIAA/CEAS Aeroacoustics Conference, 2018 - Atlanta, United States
Duration: 2018 Jun 252018 Jun 29

Publication series

Name2018 AIAA/CEAS Aeroacoustics Conference


ConferenceAIAA/CEAS Aeroacoustics Conference, 2018
Country/TerritoryUnited States


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