On June 26, in the reception rooms at the city hall in Paris’ 15th arrondissement, Stéphane F., an engineer specialized in basic scientific research at the Dassault Aviation Forecasting Department in Saint-Cloud, was awarded the thesis prize from the French aeronautics and astronautics association (3AF).
The prizewinning work focuses on an original, innovative subject: predicting aircraft vibration environments through automatic learning. It is based on model learning, powered by sophisticated artificial intelligence techniques, to predict complex mechanical vibration phenomena at mid- and high-frequency before the flight test phase.
The implications are huge in terms of sizing of airborne equipment, durability and even flight safety. The phenomena studied also have an impact on acoustic comfort, both in the cabin for passengers and in the cockpit.
The work was carried out under the supervision of Bérengère Podvin, research director at CNRS, co-managed by Lionel Mathelin, research officer at CNRS, and co-supervised by Frédéric G. and Stéphane N., two of our specialist engineers at Dassault Aviation, the former in flight tests and the latter at the structure design office.
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