Unstructured grid simulations of transonic Shockwave-Boundary Layer Interaction-induced oscillations

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

    7 Scopus citations

    Abstract

    Shockwave oscillations at transonic freestream conditions on airfoil and wing models were simulated using unstructured computational fluid dynamics techniques. The models utilized either the OAT15A or NACA 64A204 airfoil profile. The node-based finite-volume solver developed by NASA’s Langley Research Center, FUN3D version 12.4, was employed. Mixed element type grids were constructed using the AFLR libraries integrated into the CREATE™-MG Capstone mesh generation software. The grids contained triangle elements on the airfoil/wing surface, prismatic elements in the boundary layer, and tetrahedral elements in the fluid domain. The work presented herein demonstrates that while unstructured grid URANS simulations are capable of predicting shockwave oscillations, frequency and damping of the oscillations are sensitive to numerous grid characteristics. Furthermore, results show that the inclusion of non-airfoil geometries in models does not significantly alter the primary shockwave oscilaltion frequency.

    Original languageEnglish
    Title of host publication22nd AIAA Computational Fluid Dynamics Conference
    PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
    ISBN (Print)9781624103667
    DOIs
    StatePublished - 2015
    Event22nd AIAA Computational Fluid Dynamics Conference, 2015 - Dallas, United States
    Duration: Jun 22 2015Jun 26 2015

    Publication series

    Name22nd AIAA Computational Fluid Dynamics Conference

    Conference

    Conference22nd AIAA Computational Fluid Dynamics Conference, 2015
    Country/TerritoryUnited States
    CityDallas
    Period06/22/1506/26/15

    Fingerprint

    Dive into the research topics of 'Unstructured grid simulations of transonic Shockwave-Boundary Layer Interaction-induced oscillations'. Together they form a unique fingerprint.

    Cite this