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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    Title :

    Lattice Boltzmann for Airframe Noise Predictions


    Contributors:

    Conference:

    Supercomputing 2017 ; 2017 ; Denver, CO, United States


    Publication date :

    2017-11-13


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




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