PG-EAM - Graduate Program in Aeronautical and Mechanical Engineering
PT EN
Article 2009

An efficient modeling methodology of structural systems containing viscoelastic dampers based on frequency response function substructuring

Authors

de Lima, A. M.G.
Lépore Neto, F. P.

Mechanical Systems and Signal Processing , vol. 23 , no. 4 , pp. 1272-1281

ISSN: 08883270

35
Citations
3
Authors

Abstract

In this paper it is suggested a modeling methodology of structural systems supported by translational and rotational viscoelastic mounts or joints based on a frequency response function coupling technique. Such strategy enables to predict the dynamic behaviour of the composite systems given a set of frequency response functions of the main structure and a driving point frequency response function of the viscoelastic support. These frequency response functions can be obtained either experimentally or by finite element modeling. Both cases are considered in the study. After presenting the underlying theoretical aspects, the results of numerical simulations of two-dimensional structures are presented, emphasizing the procedure conceived to compute the frequency response functions of the viscoelastic mounts or joints from a detailed finite element model using commercial packages and material properties provided by manufacturers. The dependency of the viscoelastic behaviour on frequency and temperature is accounted for by using the complex modulus approach and the concepts of reduced frequency and shift factor. An investigation using experimentally acquired frequency response functions of a frame structure with a translational viscoelastic damper is presented. Based on the obtained results, the main features of the modeling methodology are highlighted. © 2008 Elsevier Ltd. All rights reserved.

Keywords

Complex modulus Damping Structural dynamics Substructuring Vibrations Viscoelasticity

Control and Systems Engineering (ENGI) Signal Processing (COMP) Civil and Structural Engineering (ENGI) Aerospace Engineering (ENGI) Mechanical Engineering (ENGI) Computer Science Applications (COMP)
: Scopus
Last Update: 2026-06-25
: 2-s2.0-59049086313
PII: S0888327008002227