The sensitivity method is probably the most successful of the many approaches to the
problem of updating finite element models of engineering structures based on vibration test …

In structural dynamics, a predictive model is constructed by develo** a mathematical–
mechanical model of a designed system in order to predict the response of the real system …

This book results from a course developed by the author and reflects both his own and
collaborative research regarding the development and implementation of uncertainty …

The quantification of probabilistic uncertainties in the outputs of physical, biological, and
social systems governed by partial differential equations with random inputs require, in …

This paper deals with data uncertainties and model uncertainties issues in computational
mechanics. If data uncertainties can be modeled by parametric probabilistic methods, for a …

In Bayesian model updating, probability density functions of model parameters are updated
accounting both for the information contained in the data and for uncertainties present in the …

This paper deals with a short overview on stochastic modeling of uncertainties. We introduce
the types of uncertainties, the variability of real systems, the types of probabilistic …

This paper deals with the construction of a class of non-Gaussian positive-definite matrix-
valued random fields whose mathematical properties allow elliptic stochastic partial …

Stochastic Models of Uncertainties in Computational Mechanics: Front Matter Page 1
Lecture Notes in Mechanics 2 Stochastic Models of Uncertainties in Computational …

Structural dynamics has numerous practical applications, such as structural analysis,
vibration control, energy harvesting, system identification, structural safety assessment, and …