Improvement in prediction capability of transonic buffet on NASA-CRM using URANS

Kenta Kumada, Keisuke Sawada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication54th AIAA Aerospace Sciences Meeting
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624103933
Publication statusPublished - 2016 Jan 1
Event54th AIAA Aerospace Sciences Meeting, 2016 - San Diego, United States
Duration: 2016 Jan 42016 Jan 8

Publication series

Name54th AIAA Aerospace Sciences Meeting

Other

Other54th AIAA Aerospace Sciences Meeting, 2016
CountryUnited States
CitySan Diego
Period16/1/416/1/8

ASJC Scopus subject areas

  • Aerospace Engineering

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    Kumada, K., & Sawada, K. (2016). Improvement in prediction capability of transonic buffet on NASA-CRM using URANS. In 54th AIAA Aerospace Sciences Meeting (54th AIAA Aerospace Sciences Meeting). American Institute of Aeronautics and Astronautics Inc, AIAA.