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Aeroacoustic Simulations of a Landing Gear Benchmark Problem using Wall-Modeled Large-Eddy Simulations

ORAL

Abstract

The capability of predicting airframe noise using the wall-modeled large-eddy simulation (WMLES) with an immersed boundary Cartesian approach in the Launch, Ascent, and Vehicle Aerodynamics (LAVA) framework is analyzed. WMLESs of the flow past the LAGOON nose landing gear are conducted using Cartesian octree meshes with different resolutions to facilitate the grid sensitivity analysis of the near-field and far-field numerical noise predictions. With the effects of the tripping devices in the experiments modeled, the near-field mean and unsteady acoustic results from the high resolution WMLESs show good agreement with the experimental results. The spectra of far-field nosie radiated with the use of Ffowcs Williams-Hawkings acoustic analogy also have reasonable comparison with the experimental data in the low and medium frequency ranges.

Publication: Wong, Man Long, et al. "Predictions of LAGOON Nose Landing Gear Flow and Noise using Wall-Modeled Large Eddy Simulations." 28th AIAA/CEAS Aeroacoustics 2022 Conference. 2022.

Presenters

  • Man Long Wong

    NASA Ames Research Center

Authors

  • Man Long Wong

    NASA Ames Research Center

  • Gaetan K Kenway

    NASA Ames Research Center

  • Aditya S Ghate

    NASA Ames Research Center

  • Gerrit-Daniel Stich

    NASA Ames Research Center

  • Cetin C Kiris

    NASA Ames Research Center