1. Optimized gauging for tire–rim loading identification
- Author
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D Mellé, Kévin Cosseron, François Hild, J.-F Diebold, Stéphane Roux, Laboratoire de mécanique et technologie (LMT), Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), and SAFRAN Landing Systems
- Subjects
Computer science ,Mechanical Engineering ,Interface (computing) ,Process (computing) ,General Physics and Astronomy ,02 engineering and technology ,021001 nanoscience & nanotechnology ,[PHYS.MECA.MEMA]Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph] ,Identification (information) ,symbols.namesake ,020303 mechanical engineering & transports ,0203 mechanical engineering ,Mechanics of Materials ,Control theory ,Service life ,symbols ,General Materials Science ,Instrumentation (computer programming) ,0210 nano-technology ,Fisher information ,Eigenvalues and eigenvectors ,Strain gauge - Abstract
International audience; The determination of the tire-rim interface loadings is a difficult but key task for the aircraft wheel designer to predict the wheel service life. In conjunction with an optimal parameterization of these loadings previously defined by the authors, the optimal sensor placement problem is considered to identify the loading parameters at best. An optimization procedure of the wheel instrumentation, which consists of several strain gauges, is thus proposed to minimize the uncertainties of the sought parameters during the identification process. Two criteria are reviewed, namely, the determinant and the lowest eigenvalue of the Fisher information matrix, and different optimization procedures are assessed. The effectiveness of the method is proven considering the identification of an inflation case. The optimized instrumentations lead to drastically reduced uncertainties of the loading parameters and thus ensure reliable inverse identifications
- Published
- 2021
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