The large‐scale structure systems in engineering are complex, high dimensional, and
variety of physical mechanism couplings; it will be difficult to analyze the dynamic behaviors …

Polynomial Chaos (PC) expansions are widely used in various engineering fields for
quantifying uncertainties arising from uncertain parameters. The computational cost of …

The present paper aims to establish a systematic robust optimization framework for the
hydrodynamic performance of marine current turbines against uncertain conditions. To this …

This paper focuses on a new framework for obtaining a nonintrusive (ie, not requiring
projecting of the governing equations onto the reduced basis modes) reduced order model …

Polynomial chaos expansion (PCE) is widely used by engineers and modelers in various
engineering fields for uncertainty analysis. The computational cost of full PCE is …

Stochastic simulators are non-deterministic computer models which provide a different
response each time they are run, even when the input parameters are held at fixed values …

We propose a non-intrusive stochastic model reduction method for polynomial chaos
representation of acoustic problems using proper orthogonal decomposition. The random …

Abstract The Polynomial Chaos Expansion (PCE) methodology is widely used for
uncertainty quantification of stochastic problems. The computational cost of PCE increases …

The polynomial chaos expansion (PCE) approaches have drawn much attention in the field
of simulation-based uncertainty quantification (UQ) of stochastic problem. In this paper, we …

To numerically investigate the stochastic heat transfer performance of a microchannel heat
sink, a randomly generated, rough surface profile with a prespecified autocorrelation …