Analytical uncertainty quantification for modal frequencies with structural parameter uncertainty using a Gaussian process metamodel

HP Wan, Z Mao, MD Todd, WX Ren - Engineering Structures, 2014 - Elsevier
Quantifying the uncertainty in the dynamic properties of large-scale complex engineering
structures presents significant computational challenges. Monte Carlo simulation (MCS) …

Probabilistic forecast of wind speed based on Bayesian emulator using monitoring data

XW Ye, Y Ding, HP Wan - Structural Control and Health …, 2021 - Wiley Online Library
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 …

Gradient-based methods for uncertainty quantification in hypersonic flows

B Lockwood, D Mavriplis - Computers & Fluids, 2013 - Elsevier
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 …

Efficient uncertainty quantification for a hypersonic trailing-edge flap, using gradient-enhanced kriging

S Bhattrai, JHS de Baar, AJ Neely - Aerospace Science and Technology, 2018 - Elsevier
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 …

On the influence of uncertainty in computational simulations of a high-speed jet flow from an aircraft exhaust

FJ Granados-Ortiz, CP Arroyo, G Puigt, CH Lai… - Computers & …, 2019 - Elsevier
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 …

A surrogate modeling framework for airfoil design and optimization

MM Safdar, A Anand, K Marepally, B Lee… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
The behavior of aerodynamic geometries in a fluid environment is governed by higher order
nonlinear partial differential equations, which are solved numerically through …

A Meta-Learning Based Aerodynamic Analysis Framework for Wind Turbine Design Applications

K Marepally - 2023 - search.proquest.com
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 …

[PDF][PDF] 代理模型技术及其应用: 现状与展望

吕利叶, 鲁玉军, 王硕, 刘印, 李昆鹏, 宋学官 - 机械工程学报, 2024 - qikan.cmes.org
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 …

Stochastic drag analysis via polynomial chaos uncertainty quantification

W Yamazaki - Transactions of the Japan society for aeronautical and …, 2015 - jstage.jst.go.jp
In this paper, uncertainty quantification approaches are applied to an aerodynamic
uncertainty quantification problem with a far-field drag breakdown approach. Two …

Non-intrusive semi-analytical uncertainty quantification using Bayesian quadrature with application to CFD simulations

Y Duan, MN Ridao, M Eaton, M Bluck - … Journal of Heat and Fluid Flow, 2022 - Elsevier
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 …