TY - GEN
T1 - Dynamic hybrid RANS/LES assessment of sound generation and propagation from flow over a circular cylinder
AU - Wang, Xiao
AU - Bhushan, Shanti
AU - Manshoor, Bukhari
AU - Luke, Edward
AU - Sescu, Adrian
AU - Hattori, Yuji
AU - Thompson, David
AU - Walters, Keith
N1 - Funding Information:
The authors wish to thank the National Aeronautics and Space Administration for support of this work under Established Program to Stimulate Competitive Research, Grant No. 18-09-022: High Fidelity Loci-CHEM Simulations for Acoustic Wave Propagation and Vibration. Part of the work was carried out under the Collaborative Research Project between the Institute of Fluid Science, Tohoku University, and the Center for Advanced Vehicular Systems, Mississippi State University.
Publisher Copyright:
© 2018 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
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U2 - 10.2514/6.2018-3592
DO - 10.2514/6.2018-3592
M3 - Conference contribution
AN - SCOPUS:85051286942
SN - 9781624105609
T3 - 2018 AIAA/CEAS Aeroacoustics Conference
BT - 2018 AIAA/CEAS Aeroacoustics Conference
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA/CEAS Aeroacoustics Conference, 2018
Y2 - 25 June 2018 through 29 June 2018
ER -