F
François Louf
Researcher at Université Paris-Saclay
Publications - 65
Citations - 415
François Louf is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Finite element method & Computer science. The author has an hindex of 12, co-authored 51 publications receiving 329 citations. Previous affiliations of François Louf include UniverSud Paris & École normale supérieure de Cachan.
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Study of the dynamic behavior of a bolted joint under heavy loadings
TL;DR: In this article, a dynamic test bed based on a bolted structure is designed and modal testing is performed for the purpose of improving our understanding and the development of pertinent models, and the results of the experimental campaign show the variation of the dissipation in a bolted joint and its apparent stiffness as a function of joint conditions.
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Real-time validation of mechanical models coupling PGD and constitutive relation error
TL;DR: A general framework that enables to perform real-time validation of mechanical models based on the constitutive relation error and a powerful method for model reduction, the proper generalized decomposition is introduced.
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Definition and updating of simplified models of joint stiffness
TL;DR: In this paper, a linear joint model is proposed to represent the behavior of every joint of a large aeronautical structure globally while enabling local nonlinear reanalysis of the most highly loaded joints.
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Analytical Approach for Mechanical Resonance Frequencies of High-Speed Machines
TL;DR: This model is based on the calculation and the minimization of Rayleigh's quotient and uses an energetic approach from beam theory applied to stators with a Timoshenko kinematic model to determine mechanical eigenfrequencies.
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Uncertainties in structural dynamics: overview and comparative analysis of methods
TL;DR: In this article, the authors present a review of the main probabilistic approaches used to model and propagate uncertainties in structural mechanics and present the Lack-Of-Knowledge theory that was recently developed to take into account all sources of uncertainties.