Increase predictive use of High-Fidelity Computational Aero- Acoustics (CAA) capabilities for NASA's next generation aviation concepts. CFD has been utilized substantially in analysis and design for steady-state problems (RANS). Computational resources are extremely challenged for high-fidelity unsteady problems (e.g. unsteady loads, buffet boundary, jet and installation noise, fan noise, active flow control, airframe noise, etc) ü Need novel techniques for reducing the computational resources consumed by current high-fidelity CAA Need routine acoustic analysis of aircraft components at full-scale Reynolds number from first principles Need an order of magnitude reduction in wall time to solution!


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    Titel :

    Lattice Boltzmann for Airframe Noise Predictions


    Beteiligte:

    Kongress:

    Supercomputing 2017 ; 2017 ; Denver, CO, United States


    Erscheinungsdatum :

    2017-11-13


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    Lattice Boltzmann and Navier-Stokes Cartesian CFD Approaches for Airframe Noise Predictions

    Barad, Michael F. / Kocheemoolayil, Joseph G. / Kiris, Cetin C. | AIAA | 2017


    Lattice Boltzmann and Navier-Stokes Cartesian CFD Approaches for Airframe Noise Predictions

    Barad, Michael F. / Kocheemoolayil, Joseph G. / Kiris, Cetin C. | NTRS | 2017


    Lattice Boltzmann and Navier-Stokes Cartesian CFD Approaches for Airframe Noise Predictions

    Barad, Michael / Kocheemoolayil, Joseph / Kiris, Cetin | NTRS | 2017


    Towards Full Aircraft Airframe Noise Prediction: Lattice Boltzmann Simulations

    Khorrami, Mehdi R. / Fares, Ehab / Casalino, Damiano | AIAA | 2014


    LATTICE BOLTZMANN AND NAVIER-STOKES CARTESIAN CFD APPROACHES FOR AIRFRAME NOISE PREDICTIONS (AIAA 2017-4404)

    Barad, Michael F. / Kocheemoolayil, Joseph G. / Kiris, Cetin C. | British Library Conference Proceedings | 2017