We present an adaptive algorithm for constructing surrogate models of multi‐disciplinary
systems composed of a set of coupled components. With this goal we introduce “coupling” …

This paper presents a comparison of two multi-fidelity methods for the forward uncertainty
quantification of a naval engineering problem. Specifically, we consider the problem of …

A new stochastic method, integrating spline dimensional decomposition (SDD) and
isogeometric analysis (IGA), is proposed for solving stochastic boundary-value problems …

An optimal experimental set‐up maximizes the value of data for statistical inferences. The
efficiency of strategies for finding optimal experimental set‐ups is particularly important for …

We study the numerical solution of forward and inverse time-harmonic acoustic scattering
problems by randomly shaped obstacles in three-dimensional space using a fast …

This paper presents a comparison of two methods for the forward uncertainty quantification
(UQ) of complex industrial problems. Specifically, the performance of Multi-Index Stochastic …

The non-intrusive B-splines Bézier elements method (BSBEM) is used to perform uncertainty
propagation for complex dam break flow models. The predictive efficiency of the BSBEM is …

We present a combination technique based on mixed differences of both spatial
approximations and quadrature formulae for the stochastic variables to solve efficiently a …

We present an efficient approach to quantify the uncertainties associated with the numerical
simulations of the laser‐based powder bed fusion of metals processes. Our study focuses on …

This paper presents a new stochastic method by integrating spline dimensional
decomposition (SDD) of a high-dimensional random function and isogeometric analysis …