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Scale-Resolving Simulations for Jet Noise Prediction

Aeronautics

The design of next-generation supersonic aircraft for commercial transport will rely on advanced technologies to mitigate noise and ensure compliance with Federal Aviation Administration (FAA) noise standards. NASA’s Commercial Supersonic Transport (CST) Project was formed with a mission to develop new tools, technologies, and knowledge to build propulsion systems that exceed FAA regulatory expectations and eliminate barriers to supersonic transport. One key goal of the CST Project is to evaluate and reduce noise levels during the landing and takeoff (LTO) phases. This work is crucial for achieving public support of the commercial supersonic market, ensuring the safety of ground crew, and informing FAA guidelines for LTO operation.

As part of the CST Project, a research team at the NASA Advanced Supercomputing (NAS) facility at Ames Research Center are using the Launch, Ascent, and Vehicle Analysis (LAVA) computational fluid dynamics software to predict jet noise during LTO conditions. The team studies the acoustic impact of different nozzle geometries and operating conditions to inform future design decisions. The simulation results are also used to develop better understanding of the limitations and uncertainties in the software as they relate to far-field noise predictions.

Access to the state-of-the-art computational resources and services at the NAS facility has revolutionized our approach to jet noise prediction with large-eddy simulation methods. The enhanced computational power and resources have dramatically increased our efficiency, enabling us to make substantial progress toward innovative solutions. This advancement brings us a significant step closer to achieving certification through analysis.

Gerrit-Daniel Stich,
NASA Ames Research Center

Quick Facts

  • Using 100 AMD Rome nodes on the Aitken supercomputer at the NAS facility and the LAVA solver, the research team enhanced jet noise predictions by an order of magnitude. They efficiently used modern hardware, employed load balancing for scaling, and improved algorithms. This has enabled the generation of a first-of-its-kind database for jet noise simulations of supersonic configurations.
  • Improvements in the LAVA solver have led to a 65x reduction in simulation time over the past five years. This speed-up has enabled the team to perform wall-modeled large eddy simulations (WMLES) for many different nozzle configurations and operating set points, greatly expanding our jet noise database and understanding of jet noise prediction.
  • Data from this project is being used to help inform noise certification guidelines for future supersonic aircraft. Comparison between the results and experimental measurements is also used to establish best practices for jet noise simulations and quantify uncertainties and sensitivities in the results.
  • Significant emphasis has been placed on the development of automated mesh generation tools which will allow for faster simulation turnaround times. The LAVA team has developed a Voronoi-based mesh generation tool that has shown great promise for jet noise simulations and is currently being tested on nozzles with very complex geometries.

Researchers

  • Olivia Martin, NASA Ames Research Center
  • Gerrit-Daniel Stich, NASA Ames Research Center
  • Jared Duensing, NASA Ames Research Center

More Information

All projects

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