This article presents an efficient nonlinear stochastic finite element method to solve
stochastic elastoplastic problems. Similar to deterministic elastoplastic problems, we …

This paper explores the accuracy and the efficiency of analytical solution of Fredholm
integral equation to represent a random field on complex geometry. Because no analytical …

As a physical fact, randomness is an inherent and ineliminable aspect in all physical
measurements and engineering production. As a consequence, material parameters …

This work presents a global surrogate modelling of mechanical systems with elasto-plastic
material behaviour based on support vector regression (SVR). In general, the main …

The LATIN method has been developed and successfully applied to a variety of
deterministic problems, but few work has been developed for nonlinear stochastic problems …

The paper presents a novel methodology to build surrogate models of complicated functions
by an active learning-based sequential decomposition of the input random space and …

Assessing structural reliability problem with high-dimensional random inputs is still
challenging due to the “curse of dimensionality”. In this paper, this challenge is addressed …

Parametric uncertainty in a dynamical system has the potential to undermine the
performance of a closed-loop controller designed through classical techniques. This paper …

As a physical fact, randomness is an inherent and ineliminable aspect in all physical
measurements and engineering production. As a consequence, material parameters …

Due to the inherent errors during the fabrication process, the frequency selective surface
(FSS) technique suffers high-dimensional uncertainties, which is especially severe for …