TY - GEN
T1 - Improvement in prediction capability of transonic buffet on NASA-CRM using URANS
AU - Kumada, Kenta
AU - Sawada, Keisuke
N1 - Funding Information:
Computations are carried out on JAXA Supercomputer System Generation 2 (JSS2), and also on SGI UV2000 at the Institute of Fluid Science, Tohoku University. This work has been supported by the FY2015 ?Japan Aerospace Exploration Agency, Institute of Aeronautical Technology Research Announcement.?
Publisher Copyright:
© 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - A numerical approach to improve prediction capability of transonic buffet onset based on URANS simulation is investigated. In the present approach, small velocity perturbation is added in every computational cell to force flow instabilities to appear otherwise dissipated in URANS simulation. The computed buffeting flowfield over the NASA-CRM wing is compared with that given by DDES. It is shown that unsteady shock excursions only appear in the outboard wing region in both results for M∞ = 0.847, α = 4.65° and Remac=2.26 × 106. The computed results obtained so far are encouraging that the present unsteady perturbed RANS simulation could predict the buffet onset with reasonable accuracy in less computing time which, however, is yet to be clarified in the future study.
AB - A numerical approach to improve prediction capability of transonic buffet onset based on URANS simulation is investigated. In the present approach, small velocity perturbation is added in every computational cell to force flow instabilities to appear otherwise dissipated in URANS simulation. The computed buffeting flowfield over the NASA-CRM wing is compared with that given by DDES. It is shown that unsteady shock excursions only appear in the outboard wing region in both results for M∞ = 0.847, α = 4.65° and Remac=2.26 × 106. The computed results obtained so far are encouraging that the present unsteady perturbed RANS simulation could predict the buffet onset with reasonable accuracy in less computing time which, however, is yet to be clarified in the future study.
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U2 - 10.2514/6.2016-1346
DO - 10.2514/6.2016-1346
M3 - Conference contribution
AN - SCOPUS:85007602991
SN - 9781624103933
T3 - 54th AIAA Aerospace Sciences Meeting
BT - 54th AIAA Aerospace Sciences Meeting
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - 54th AIAA Aerospace Sciences Meeting, 2016
Y2 - 4 January 2016 through 8 January 2016
ER -