Shock and Vibration

Shock and Vibration / 2006 / Article

Open Access

Volume 13 |Article ID 917967 | https://doi.org/10.1155/2006/917967

A.M.G. de Lima, M.H. Stoppa, D.A. Rade, V. Steffen Jr., "Sensitivity Analysis of Viscoelastic Structures", Shock and Vibration, vol. 13, Article ID 917967, 14 pages, 2006. https://doi.org/10.1155/2006/917967

Sensitivity Analysis of Viscoelastic Structures

Received19 Jul 2006
Revised19 Jul 2006

Abstract

In the context of control of sound and vibration of mechanical systems, the use of viscoelastic materials has been regarded as a convenient strategy in many types of industrial applications. Numerical models based on finite element discretization have been frequently used in the analysis and design of complex structural systems incorporating viscoelastic materials. Such models must account for the typical dependence of the viscoelastic characteristics on operational and environmental parameters, such as frequency and temperature. In many applications, including optimal design and model updating, sensitivity analysis based on numerical models is a very usefull tool. In this paper, the formulation of first-order sensitivity analysis of complex frequency response functions is developed for plates treated with passive constraining damping layers, considering geometrical characteristics, such as the thicknesses of the multi-layer components, as design variables. Also, the sensitivity of the frequency response functions with respect to temperature is introduced. As an example, response derivatives are calculated for a three-layer sandwich plate and the results obtained are compared with first-order finite-difference approximations.

Copyright © 2006 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

 PDF Download Citation Citation
 Order printed copiesOrder
Views177
Downloads617
Citations

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.