On the compromise between performance and robustness for viscoelastic damped structures

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TitreOn the compromise between performance and robustness for viscoelastic damped structures
Type de publicationJournal Article
Year of Publication2019
AuteursJaboviste K., Sadoulet-Reboul E., Peyret N., Arnould C., Collard E., Chevallier G.
JournalMECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume119
Pagination65-80
Date PublishedMAR 15
Type of ArticleArticle
ISSN0888-3270
Mots-clésDamping, Info-gap, robustness, Vibrations, Viscoelasticity
Résumé

Viscoelastic materials are commonly used for passive treatment in many applications. They exhibit a specific behavior depending on frequency and temperature, and thus damping performances can strongly vary in an uncertain environment for which these materials can be used far from their optimal nominal value. The problem studied in this paper is the compromise to find between damping efficiency and robustness to lack-of-knowledge when using structure with viscoelastic components. This question is illustrated on a damper made of a steel frame, considering two kinds of viscoelastic materials: the tBA-PEGDMA which is a viscoelastic material that exhibits very good performances but a very sensitive behavior according to frequency and temperature, and the silicone rubber SI 965 which is less efficient but whose behavior is less frequency- and temperature-dependent than the tBA-PEGDMA. In order to evaluate the performances, a complex eigen-value analysis is performed on the finite element model of the damper, with different rheological material models. In a very original way, the temperature is introduced in the model to investigate its influence on the modal damping. In this context, and using the developed methodologies, a robustness study is performed using the info-gap theory to evaluate the modal damping performances for the two considered viscoelastic materials in an uncertain temperature environment. It is shown that the best design choice in terms of viscoelastic behavior really depends on the degree of lack-of-knowledge: robust and better performances can be obtained while quantifying the horizon of uncertainty. (C) 2018 Elsevier Ltd. All rights reserved.

DOI10.1016/j.ymssp.2018.08.061