This paper presents a review of the current state-of-the-art of numerical methods for
stochastic computations. The focus is on efficient high-order methods suitable for practical …

Suspension components play key roles in the running behaviour of rail vehicles, and
therefore, mathematical models of suspension components are essential ingredients of …

This paper proposes a new interval analysis method for the dynamic response of nonlinear
systems with uncertain-but-bounded parameters using Chebyshev polynomial series …

This paper demonstrates the use of polynomial chaos expansions for the nonlinear, non-
Gaussian propagation of orbit state uncertainty. Using linear expansions in tensor products …

Uncertainties have become a major concern in integrated circuit design. In order to avoid the
huge number of repeated simulations in conventional Monte Carlo flows, this paper presents …

This study proposes a new uncertain analysis method for multibody dynamics of mechanical
systems based on Chebyshev inclusion functions The interval model accounts for the …

Flexible multibody system dynamics (MSD) is one of the hot spots and difficulties in modern
mechanics. It provides a powerful theoretical tool and technical support for dynamic …

Quantifying the uncertainty of the renewable energy generation units and loads is critical to
ensure the dynamic security of next-generation power systems. To achieve that goal, the …

This study applies generalized polynomial chaos theory to model complex nonlinear
multibody dynamic systems operating in the presence of parametric and external …

The ability of ground vehicles to quickly and accurately analyse their dynamic response to a
given input is critical to their safety and efficient autonomous operation. In field conditions …