Quantifying the uncertainty in the dynamic properties of large-scale complex engineering
structures presents significant computational challenges. Monte Carlo simulation (MCS) …

Wind speed forecasting can serve a wide spectrum of purposes, including scheduling of a
power system and dynamic control of structures. A lot of models are widely used to forecast …

In this paper, the use of gradient information for the acceleration of uncertainty quantification
within the context of viscous hypersonic flows is examined. In particular, the variability of …

We present a numerical study on the uncertainty quantification (UQ) of aerodynamic forces
acting on a hypersonic trailing-edge flap model, as a result of input uncertainties in the …

A classic approach to Computational Fluid Dynamics (CFD) is to perform simulations with a
fixed set of variables in order to account for parameters and boundary conditions. However …

The behavior of aerodynamic geometries in a fluid environment is governed by higher order
nonlinear partial differential equations, which are solved numerically through …

Abstract Design testing and analysis is a major bottleneck in the design process of wind
turbine applications, mainly due to the computational cost of analysis tools like …

代理模型是计算复杂且费时的数值分析模型的替代模型, 在一定程度上弥补了传统工程优化设计
和数值仿真分析设计周期长, 计算成本高, 维数灾难等短板. 近年来, 代理模型技术蓬勃发展 …

In this paper, uncertainty quantification approaches are applied to an aerodynamic
uncertainty quantification problem with a far-field drag breakdown approach. Two …

To improve the safety, reliability, and performance of complex engineering systems, it is
crucial to understand and quantify uncertainties. This paper presents a framework to non …