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

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 …

This study explores the use of generalized polynomial chaos theory for modeling complex
nonlinear multibody dynamic systems in the presence of parametric and external …

This paper proposes a new uncertain analysis method for vehicle dynamics involving hybrid
uncertainty parameters. The Polynomial Chaos (PC) theory that accounts for the random …

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 …

轻质, 高精度的柔性多体系统被广泛应用于实际工程领域中. 由于实际设计公差,
制造误差及环境温度等多种不确定因素的存在, 使得柔性多体系统的结构参数(物理参数和几何 …

To improve the efficiency of reliability calculations for vehicle-bridge systems, we present a
surrogate modeling method based on a nonlinear autoregressive with exogenous input …

A non-intrusive computation methodology is proposed to study the dynamics of rigid–flexible
multibody systems with a large number of uncertain interval parameters. The rigid–flexible …