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Optimal design of nonlinear energy sinks for SDOF structures subjected to white noise base excitations

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journal contribution
posted on 06.04.2017, 08:19 by Maria Oliva, Giorgio Barone, Giacomo Navarra
Nonlinear Energy Sinks (NESs) have recently received increasing attention from researchers because of their capability to passively absorb a significant amount of energy over a wide range of frequencies. In most studies, the dynamic response of the main structure coupled with one or more NESs is analysed for impulsive loading. In this paper, the performance of the NES attached to a Single Degree of Freedom (SDOF) system, under random Gaussian white noise base excitations, is investigated through several numerical simulations. In order to determine the optimal configuration for the device, four different objective functions are considered. Sensitivity analyses with respect to the intensity of the random loads, the mass ratio and the main parameters of the primary structure are presented. The authors propose an approximate design approach based on the use of the Statistical Linearization Technique, and an accurate empirical formulation linking the NES optimal parameters to the characteristic of the main structure and the random excitation. Numerical results are validated by Monte Carlo simulations. Finally, a numerical application for a 2-DOFs system equipped with a NES has been presented in order to investigate the applicability of the proposed empirical approach for Multi Degrees of Freedom structures.



  • Architecture, Building and Civil Engineering

Published in

Engineering Structures


OLIVA, M., BARONE, G. and NAVARRA, G., 2017. Optimal design of nonlinear energy sinks for SDOF structures subjected to white noise base excitations. Engineering Structures, 145, pp.135-152.


© Elsevier


AM (Accepted Manuscript)

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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This paper was published in the journal Engineering Structures and the definitive published version is available at https://doi.org/10.1016/j.engstruct.2017.03.027.