Model reduction and substructuring for computing responses of structures containing frequency-dependent viscoelastic materials

Sylvain Germes; Francois van Herpe

doi:10.1117/12.475205

10 July 2002 Model reduction and substructuring for computing responses of structures containing frequency-dependent viscoelastic materials

Sylvain Germes, Francois van Herpe

Author Affiliations +

Proceedings Volume 4693, Smart Structures and Materials 2002: Modeling, Signal Processing, and Control; (2002) https://doi.org/10.1117/12.475205
Event: SPIE's 9th Annual International Symposium on Smart Structures and Materials, 2002, San Diego, California, United States

Abstract

It is well known that adding viscoelastic materials (VEM) in a vibrating structure reduces its resonance amplitudes through dissipation of a part of its vibration energy into heat. This is the basement of many passives damping treatments, such as constrained viscoelastic layers. They have been widely implemented in the automotive industry and have proven to be effective. Nevertheless, in order to design smart passive damping systems, there is still a need for finite element models capable of predicting the frequency response of structures containing VEM. We address in this paper the problem of local frequency-dependent VEM treatment in the finite element vibration analysis of large automotive structures. For reducing the prohibitive direct response's computing time, we propose to use Component Mode Synthesis where the elastic and viscoelastic components are reduced using a modified MacNeal method. The components are then coupled using an approach that eliminates the junction degrees of freedom. The small size of the complex reduced system allows to compute quickly the frequency responses of the damped structure.

Citation Download Citation

Sylvain Germes and Francois van Herpe "Model reduction and substructuring for computing responses of structures containing frequency-dependent viscoelastic materials", Proc. SPIE 4693, Smart Structures and Materials 2002: Modeling, Signal Processing, and Control, (10 July 2002); https://doi.org/10.1117/12.475205

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available