Global sensitivity analysis (SA) aims at quantifying the respective effects of input random
variables (or combinations thereof) onto the variance of the response of a physical or …

This review article provides an overview of the problems pertaining to structural dynamics
with bolted joints. These problems are complex in nature because every joint involves …

This paper gives an overview of the use of polynomial chaos (PC) expansions to represent
stochastic processes in numerical simulations. Several methods are presented for …

We present a reformulation of the Bayesian approach to inverse problems, that seeks to
accelerate Bayesian inference by using polynomial chaos (PC) expansions to represent …

We consider a Bayesian approach to nonlinear inverse problems in which the unknown
quantity is a spatial or temporal field, endowed with a hierarchical Gaussian process prior …

The usual model updating method may be considered to be deterministic since it uses
measurements from a single test system to correct a nominal finite element model. There …

We demonstrate the use of multiwavelet spectral polynomial chaos techniques for
uncertainty quantification in non‐isothermal ignition of a methane–air system. We employ …

This study compares two techniques for uncertainty quantification in chemistry computations,
one based on sensitivity analysis and error propagation, and the other on stochastic …

Fuel variability effects on high hydrogen content syngas combustion physicochemical
properties and NO x emission characteristics are investigated invoking polynomial chaos …

ENGINEERING design commonly assumes nominal values for uncertain parameters to
simplify the design process. Unfortunately, this simplification can lead to a product that …