European Commission logo
English English
CORDIS - EU research results
Content archived on 2024-05-21

Advanced aeroacoustics


Aero acoustics remains one of the most challenging domains and its evolution is fast. Noise effects on fatigue are recognised as affecting both the security and efficiency of those who suffer it professionally or in their daily life. An accurate knowledge of the mechanisms of aerodynamic noise is required to fulfil present day norms. The course updates of the state of the art in noise prediction. The contents combines modelling, numerical approach at different levels of approximation and discussion of experimental test cases allowing the evaluation of the performances and applicability of the methods presented. Lectures will be delivered in a fast accessible form. The lecturers are high-level scientists presenting their recent results and able to explain how to apply the most recent methods to industry. At the end of the course, the participants should be able to carry out the methods presented and to optimise their use in their own domain.

The target people are both young researchers and industrial engineers:
- European companies, belonging to sectors like transport (airplane and road vehicles) or safety (noise in working environment, vibration-induced mechanical fatigue) capable to use correctly the techniques should significantly improve their competitiveness;
- Once trained efficiently in this field, young postgraduates and PhD students should find an employment more easily.
Though the sessions realised by the organisers are all in the field of Fluid Dynamics and Energetics, the topics selected and the lists of related experts strongly vary each year. Therefore, a global project regrouping the sessions does not seem adequate. Such a highly specialised course should neither be renewed at less than a two years distance.

Call for proposal

Data not available


Type of Event: Euro Lab Course
EU contribution
No data
This event takes place in Rhode Saint Genese


See on map

Total cost
No data