Parametric study and uncertainty quantification of the nonlinear modal properties of frictional dampers

Sun, Yekai and Yuan, Jie and Pesaresi, Luca and Denimal, Enora and Salles, Loic (2020) Parametric study and uncertainty quantification of the nonlinear modal properties of frictional dampers. Journal of Vibration and Acoustics, Transactions of the ASME, 142 (5). 051102. ISSN 1528-8927 (https://doi.org/10.1115/1.4046953)

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Abstract

A numerical methodology is described to study the influence of the contact location and contact condition of friction damper in aircraft engines. A simplified beam model is used to represent the blade for the preliminary design stage. The frictional damper is numerically analyzed based on two parameters, contact angle and vertical position of the platform. The nonlinear modal analysis is used to investigate the nonlinear dynamic behavior and damping performances of the system. The harmonic balanced method with the continuation technique is used to compute the nonlinear modes for a large range of energy levels. By using such a modeling strategy, the modal damping ratio, resonant amplitude, and resonant frequency are directly and efficiently computed for a range of design parameters. Monte Carlo simulations together with Latin hypercube sampling is then used to assess the robustness of the frictional damper, whose contact parameters involve much uncertainties due to manufacturing tolerance and also wear effects. The influences of those two parameters are obtained, and the best performances of the frictional damper can be achieved when the contact angle is around 25 deg-30 deg. The vertical position of the platform is highly mode dependent, and other design considerations need to be accounted. The results have proved that the uncertainties that involved contact surfaces do not have significant effects on the performance of frictional damper.

ORCID iDs

Sun, Yekai, Yuan, Jie ORCID logoORCID: https://orcid.org/0000-0002-2411-8789, Pesaresi, Luca, Denimal, Enora and Salles, Loic;
CORE (COnnecting REpositories)