The characterization of in situ ground conditions is essential for geotechnical practice. The
probabilistic estimation of soil parameters can be achieved via updating with monitoring …

Polynomial chaos expansions (PCEs) have proven efficiency in a number of fields for
propagating parametric uncertainties through computational models of complex systems …

The application of polynomial chaos expansions (PCEs) to the propagation of uncertainties
in stochastic dynamical models is well-known to face challenging issues. The accuracy of …

Polynomial chaos expansion (PCE) is widely adopted in geotechnical engineering as a
surrogate model for probabilistic analysis. However, the traditional low-order PCE may be …

To significantly increase the contribution of numerical computational fluid dynamics (CFD)
simulation for risk assessment and decision making, it is important to quantitatively measure …

In an earlier work, we have presented an efficient method for synthesizing crank-rocker
mechanisms that are capable of generating perceptually simple and smooth low harmonic …

In modern science and engineering, the consideration of uncertainties has become
indispensable. The framework of uncertainty quantification, which aims at identifying …

This paper presents a new algorithm, referred to here as Galerkin based generalized
analysis of variance decomposition (GG-ANOVA) for modelling input uncertainties and its …

From the viewpoint of nonlinear dynamics, the stability and bifurcation of the rotor dynamical
system supported in gas bearings are investigated. First, the dynamical model of gas …

Wind energy is one of the most efficient renewable energies. Wind turbines harvest the
kinetic energy of air and convert it into a usable power such as electricity power. For this, the …