2023 Cheeseman Best Paper: A Comprehensive Helicopter Acoustic Modeling Tool Based on Simulation and Experiment

The paper describes activities currently run in the frame of the MOTUS project. The developed methodology allows to correct an acoustic measurement database from simulation results in order to model the noise emis-sion of a new helicopter (H/C), accounting for the introduction of low-noise technology bricks (e.g. rotational speed modification, alternate main rotor blade or Fenestron™ design, engine noise control treatment...). The resulting hemisphere database can then be used to simulate various use-cases, from predicting certification noise levels to computing noise footprints on realistic scenarii, including also Low Noise Procedures. All these results can then be auralized in a subsequent step, to address advanced metrics related to noise annoyance.