In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the
uncertain input parameters of a structural model given the measurements of the outputs …

Failure or malfunction of complex engineered networks involves relevant social and
economic aspects, so that their maintenance is of primary importance. In assessing the …

In this paper, we present the parameter identification for inelastic and multi-scale problems.
First, the theoretical background of several fundamental methods used in the upscaling …

The paper explores three stochastic inverse methods based on a functional approximation
of the system response: the Markov Chain Monte Carlo method, the Polynomial Chaos …

In this thesis, a novel approach is developed for visco-plasticity and nonlinear dynamics
problems. In particular, variational equations are elaborated following the Helligner …

In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the
uncertain input parameters of a structural model given the measurements of the outputs …

Due to environmental, economic and socio-political reasons, significance and field of
application of existing structures reliability assessments' extend rapidly, also in view of the …

In selecting the materials for the Canadian supercritical water-cooled reactor (SCWR), the
effects and extent of stress corrosion cracking (SCC) on candidate alloys of construction …