Uncertainties in instantaneous dam-break floods are difficult to assess with standard
methods (eg, Monte Carlo simulation) because of the lack of historical observations and …

A set of global metamodeling uncertainty quantification (UQ) techniques belonging to non-
intrusive and forward propagation categories; Polynomial Chaos Expansion (PCE), Kriging …

For high-volume manufacturing, yield estimation is an important design step to determine
the effects of uncertainties in the fabrication process. The tolerances associated with the …

Uncertainty quantification has proven to be an indispensable study for enhancing reliability
and robustness of engineering systems in the early design phase. Single and multi-fidelity …

This study focuses on investigating alternative computationally efficient techniques for
numerically estimating the mesoscale (grain and sub-grain scales) stress and strain in …

Even after extensive efforts to enhance our understanding of materials, modeling, and
system processes, uncertainty continues to be an inevitable factor that impacts system …

This paper presents a method based on the support vector regression (SVR) model and
grey wolf optimizer (GWO) algorithm to efficiently predict the monostatic radar cross-section …

Structures and infrastructure systems are subjected to various deterioration processes due
to environmental or mechanical stressors. Proper performance assessment approaches …

In order to achieve fast prediction of wideband mono-RCS of complex targets under the
arbitrary incident angle, the SVR model representing the nonlinear relationship between the …

The global sensitivity analysis of electromagnetic nondestructive evaluation (ENDE) is dealt
with in this work. The goal is to calculate the Sobol'indices, which quantitatively describe the …