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Monday, July 8 • 18:10 - 18:30

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Drone noise is becoming more significant as applications for civilians and industry continue to expand. Due to its wide range of applications a robust noise mapping tool for complex outdoor applications, such as in a densely populated urban environment, is necessary. Noise assessment by the field testing is useful as a means of final verification. However, it provides no means of preemptive noise evaluation or abatement. Acoustic reflection, refraction, and absorption are the major physics that govern outdoor sound propagation. A robust and computationally efficient acoustic ray tracing code was developed, which can generate acoustic maps of hovering drones in realistic environments. Acoustic ray tracing methods with a balanced trade-off between computational cost and numerical accuracy were applied to model the dominant acoustic physics. The Gaussian beam method represents high-frequency asymptotic solutions to the wave equations along each ray path, and this method was applied to overcome the drawbacks of traditional acoustic ray tracing, such as caustics, shadow regions and the high computational cost required in determining Eigenrays. Canonical 3-D cases were tested to verify or validate the accuracy of the numerical models in resolving the major acoustic physics. Finally, noise maps of a hovering drone were generated outlining its impact in a densely populated district, as well as in an outdoor rural landscape environment.

Monday July 8, 2019 18:10 - 18:30 EDT
Westmount 4
  T04 Environ. & commun. noise, RS03 Noise model & map