PhD: Methods & Algorithms for Predicting Sound Propagation in Complex Environments
The present PhD research is focused on the development of numerical algorithms and tools for the prediction of acoustic propagation in complex environments. Two scenarios are initially targeted:
long-range noise propagation in a realistic atmosphere, taking into account both deterministic and stochastic wind/temperature conditions,
noise propagation in a realistic urban environment, taking into the effects of multiple reflections and diffractions.
The first scenario is relevant to the topic “digital aircraft noise certification and flight-test uncertainties”, whereas the second scenario is relevant to the topic “PAV and drone aeroacoustics”. The effective focus will depend on variable factors, including the candidate's attitude.
A specific aspect of the research is the coupling of the acoustic propagation tools with unsteady CFD datasets, both in the case of a conventional aircraft in take-off/landing conditions, and a PAV operated in urban areas.
The research has a numerical and theoretical nature.
This job comes from a partnership with Science Magazine and