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SUMMARY:JISFA1#4 - Reverse problems and Analytical Sensitivity analysis fo
 r landing gear noise calibration and prediction
DTSTART;VALUE=DATE-TIME:20230711T094000Z
DTEND;VALUE=DATE-TIME:20230711T100000Z
DTSTAMP;VALUE=DATE-TIME:20260308T102632Z
UID:indico-contribution-723@events.isae-supaero.fr
DESCRIPTION:Speakers: Paul Hanappier (Safran Landing Systems - Vélizy)\nR
 everse problems are used in order to calibrate landing gears noise spectra
 . The idea consists to minimize a least square function where the SMITH se
 mi-empirical spectrum is optimized with respect to the experimental measur
 ed data. Hence\, the SMITH “empirical” parameters are the control para
 meters for these acoustics optimization problems. The number of these opti
 mization parameters can quickly increase when it concerns real landing gea
 rs with hundreds of components. An analytical sensitivity analysis is carr
 ied out using SMITH analytical formulations in order to identify the most 
 sensitive and influencing control parameters and to reduce significantly t
 he big number of optimization parameters. The optimized SMITH numerical co
 efficients can be efficiently used to predict the noise of news landing ge
 ar configurations.\n\nhttps://events.isae.fr/event/22/contributions/723/
LOCATION:Toulouse
URL:https://events.isae.fr/event/22/contributions/723/
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