From a probabilistic perspective, a stochastic process (or random field) is completely
specified by its joint probability distribution, which can be further decomposed into marginal …

The quantification of uncertainties in the mechanical response of composite structures can
be a computationally demanding task. This is due both to the number of uncertain …

This dissertation aims to evaluate the exceedance probability at the long-term of the
concrete lining of deep tunnels by considering the uncertainty of the time-dependent …

Characterizing the behavior of dynamic systems requires the inclusion of initial conditions to
propagate behavior forward in time. More realistic representations of system behavior …

The stochastic finite element method (SFEM) is an extension of classical FEM which allows
the representation of various types and sources of uncertainty in one computational system …

Bayesian inference and rare event simulation increase in complexity when model
parameters are represented through random fields. We propose two algorithms that are …

Seismic waves caused by earthquakes undergo many changes when passing through
different layers of soil. For this reason, the effects of soil parameters on the dynamic …

This paper presents a new methodology for structural reliability analysis via stochastic finite
element method (SFEM). A novel sample-based SFEM is firstly used to compute structural …

Most of the time, modern problems of engineering are nonlinear and, may also be subject to
certain types of uncertainty that can directly influence in the answers of a particular system …

El diseño estructural empleando métodos deterministas, es decir, usando métodos en los
que no se tienen en cuenta la incertidumbre han sido el común denominador en el …