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Conception et caractérisation de liaisons boulonnées pour la réduction robuste de vibrations de structures

Abstract : Predictive models are needed to properly design assembled structures. The main issue with this kind of structure is to deal with non-linear phenomena as contact or friction while considering sources of uncertainties mainly responsible for the deviation between the effective behavior of the structure and results from deterministic simulations. This work aims to provide a pragmatic approach to characterize the vibrational behavior of light assembled structures considering the variability of parameters of the joints. This approach would be useful for robust design of solutions, such as solutions for damping vibrations, dedicated to assembled structures and taking into account the variability of the real behavior of each joint.In this work, the dynamical behavior of an actual light structure is studied in order to identify a "just sufficient" nominal model of the considered joints. A non intrusive approach is then proposed to reduce the vibrational stochastic model of a structure with random parameters is then proposed. This approach, referred as the SMR approach (for Stochastic Model Reduction approach), takes advantage of the order of variability of random eigenvectors which is usually lower than the variability of corresponding random eigenfrequencies. It then allows to significantly reduce the computational cost for a given accuracy to estimate the structure random eigenfrequencies. The cornerstone of this approach is to adapt the stochastic modeling to each random eigenfrequency depending on a global accuracy requirement on the whole set of sought random eigenfrequency. The key point is then to identify the stochastic model used for each configuration of random eigenfrequency. A computationally free indicator is then proposed. Finally, a stochastic mechanical model of the joints of the studied structure is proposed. The SMR approach is used in an optimization process based on the maximum likelihood principle to identify the parameters of this stochastic model. This last step allows to characterize the vibrational behavior of assembled structures involving many joints taking into account the variability of each joints. This work is then concluded by applying the proposed approach to the design of an original strategy for robust reduction of vibration of light structures.
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Martin Ghienne. Conception et caractérisation de liaisons boulonnées pour la réduction robuste de vibrations de structures. Vibrations [physics.class-ph]. Conservatoire national des arts et metiers - CNAM, 2017. Français. ⟨NNT : 2017CNAM1146⟩. ⟨tel-01793711⟩

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