This paper presents a weak-intrusive stochastic finite element method for solving stochastic
structural dynamics equations. In this method, the stochastic solution is decomposed into the …

We present a nonintrusive approach to robust structural topology optimization. Specifically,
we consider optimization of mean-and variance-based robustness metrics of a linear …

In this paper, we propose anchored functional analysis of variance Petrov–Galerkin (AAPG)
projection schemes, originally developed in the context of parabolic stochastic partial …

Computational modelling is one of the most important tools to understand and predict real-
life physical processes. However, the accuracy of their predictions becomes questionable …

The focus of the present thesis is to formulate efficient schemes to solve high-dimensional
stochastic ordinary differential equations (SODEs) encountered in stochastic structural …

Although topics in science and engineering that involve dimensions beyond xyz appear
obscure, in truth numerous examples abound. For instance, uncertainty quantification …