A methodology for modeling the Far field (FF) radiated by antennas subject to random
variabilities with surrogate models of high efficiency is presented herein. The FF is …

An adaptative phase-space discretization strategy for the global analysis of stochastic
nonlinear dynamical systems with competing attractors considering parameter uncertainty …

A novel approach, referred to as sparse Kriging–NARX (KNARX), is proposed for the
uncertainty quantification of nonlinear stochastic dynamical systems. It combines the …

Modern performance evaluation and design procedures for structural systems against
severe natural hazards generally require the propagation of uncertainty through the …

Real-time hybrid simulation (RTHS) provides an efficient and effective experimental
technique for rate-dependent energy-dissipation devices in seismic hazard mitigation. The …

The application of composite materials has increased manifolds in aerospace and high-
speed vehicle industries, where structures experience dynamic loads along with …

The ever-growing reliance on probabilistic performance-based frameworks in assessing and
designing structural systems is creating a need for efficient tools for propagating uncertainty …

With a focus on weather-restricted marine operations, a comprehensive work on numerical
model calibration is conducted to improve the vessel response prediction accuracy in real …

Stochastic response analysis and first-passage reliability evaluation of multi-degree of
freedom nonlinear systems subject to non-stationary seismic excitation have been a critical …

The intricate dynamic responses of structures, particularly when confronted with uncertainty,
poses significant challenges in constructing reliable analytical models, thus resulting in …