The objective of this paper is to give a general overview of recent research activities on non-
probabilistic finite element analysis and its application for the representation of parametric …

This paper gives an overview of recent advances in the field of non-probabilistic uncertainty
quantification. Both techniques for the forward propagation and inverse quantification of …

In this paper the use of eigenvalue stability analysis of very large dimension aeroelastic
numerical models arising from the exploitation of computational fluid dynamics is reviewed …

Interval model updating in the presence of irreducible uncertain measured data is defined
and solutions are made available for two cases. In the first case, the parameter vertex …

The Gaussian process regression model is a popular type of “emulator” used as a fast
surrogate for computationally expensive simulators (deterministic computer models). For …

This paper proposes a new non-probabilistic interval uncertain optimization methodology for
structures. The uncertain design problem is often formulated as a double-loop optimization …

This paper presents a highly efficient and accurate approach to determine the bounds on the
first excursion probability of a linear structure that is subjected to an imprecise stochastic …

Prediction of response bounds of structures with interval uncertainties is a major concern in
interval finite element analysis. In many cases, the structural response is a variable …

This paper introduces the new concept of interval sensitivities applicable in the general
context of numerical interval analysis. The interval sensitivities represent a measure for the …

This work introduces a numerical algorithm to calculate frequency-response functions
(FRFs) of damped finite element (FE) models with fuzzy uncertain parameters. Part one of …