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Dotoral contract for vibration environment prediction using machine learning

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Français - Anglais

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General information

Reference : UPR3251-BERPOD-003
Workplace : ORSAY
Date of publication : Thursday, July 30, 2020
Scientific Responsible name : Bérengère Podvin
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 October 2020
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

To determine the vibration environment of an aircraft it is necessary to study how vibrations impact
on-board equipment over a wide range of flight conditions. During the aircraft design stage, specifications, such as frequency requirements are given to the equiment manufacturers,
However it is only possible to check that the specifications are met during flight tests, just before the certification process.
If specifications are not met at this point,
time delays or improper sizing can occur, which represents a risk. This risk could be minimized if reliable prediction of
the vibration environment was possible. The goal of this thesis is to develop such a prediction tool in order to characterize and to predict the aircraft vibration environment.

Work Context

LIMSI is a multidisciplinary laboratory with a wide range of research activities in engineering sciences, ranging from natural language processing to fluid mechanics and energetics.
It is part of Université Paris-Saclay. The doctoral student will be part of the DATAFLOT team in the department of Mechanics.

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