TD-fast (time domain fast acoustic scattering toolkit). Accurate and efficient high-fidelity noise prediction tools are critical to the design and assessment of next generation aircraft. The purpose…

This is a delivery order contract awarded by NASA's Langley Research Center to the National Institute of Aerospace Associates (NIA), a non-profit research institute. The purpose is to further develop and validate an efficient high-fidelity time domain acoustic scattering prediction tool for complete aircraft, covering a full frequency range. This research aims to advance computational fluid dynamics and aeroacoustics capabilities to support the design and assessment of next generation aircraft. The contract, valued at $94,046.27, does not have a set-aside designation. NIA is working with Old Dominion University Research Foundation as a subcontractor on this effort. The contract supports NASA's broader work on advanced air transport technologies, leveraging expertise in areas like computational modeling, hypersonics, and electric propulsion.

TD-fast (time domain fast acoustic scattering toolkit). Accurate and efficient high-fidelity noise prediction tools are critical to the design and assessment of next generation aircraft. The purpose of this research is to further develop, implement and validate an efficient high-fidelity time domain acoustic scattering prediction tool that is capable of treating a complete aircraft, covering a full frequency range of interest within a short turn-around time. Time domain acoustic scattering prediction capabilities have some distinct advantages over frequency domain approaches. Most notably, scattering solutions at all frequencies are obtained within one single computation. In addition, broadband noise sources and time dependent transient signals can be simulated and studied. The time domain approach also couples naturally with nonlinear computations where many frequencies are generated. Finally, with recent advances in multi-level algorithms, computational complexity can be greatly reduced, making IT feasible for routine application at mid to high frequencies with reduced resource requirements.