Viscoelastic materials are used to reduce vibrations in mechanical systems due to their con-
trol efficacy. Considering that the dynamic behavior of those materials may be described by
means of complex moduli, and experimental data may present ucertainties, an alternative is
to use probabilistic methods, especially the Bayesian inference approach. By that approach,
probability distribution functions are obtained for parameters of a model which describes the
behavior of a given material. The present work employs a viscoelastic material modeled by
the Bayesian approach in two vibration control actions, namely: a) use of vibration isolators;
b) use of dynamic neutralizers. Transmissibility and receptance curves are displayed as well
as dimensions of the control devices. Performance predictions are carried out in both cases.
It is shown that the Bayesian approach can favourably reflect the presence of the uncertain-
ties and advance their effects. Thus, more information can be provided for the designer of
viscoelastic vibration control devices to anticipate eventual corrective measures.
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