A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
[图书][B] Surrogate-model-based design and optimization
Surrogate-Model-Based Design and Optimization | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Application of deep learning based multi-fidelity surrogate model to robust aerodynamic design optimization
J Tao, G Sun - Aerospace Science and Technology, 2019 - Elsevier
In the present work, a multi-fidelity surrogate-based optimization framework is proposed, and
then applied to the robust optimizations for airfoil and wing under uncertainty of Mach …
then applied to the robust optimizations for airfoil and wing under uncertainty of Mach …
[HTML][HTML] 基于深度学习的翼型气动系数预测
陈海， 钱炜祺， 何磊 - 空气动力学学报, 2018 - html.rhhz.net
提出了一种基于深度学习的翼型气动系数预测方法, 有效克服了以往方法依赖翼型设计参数以及
算法复杂度随预测精度的提高呈指数级增长等缺点. 首先, 介绍了卷积神经网络(CNN) …
算法复杂度随预测精度的提高呈指数级增长等缺点. 首先, 介绍了卷积神经网络(CNN) …
[HTML][HTML] 面向流体力学的多范式融合研究展望
张伟伟， 王旭， 寇家庆 - 力学进展, 2023 - lxjz.cstam.org.cn
实验观测, 理论研究以及数值模拟是包括流体力学在内很多学科的基本研究范式. 21 世纪以来,
大数据驱动下的人工智能成为引领新一轮科技革命和产业变革的重要驱动力 …
大数据驱动下的人工智能成为引领新一轮科技革命和产业变革的重要驱动力 …
A multi-fidelity surrogate model based on support vector regression
Computational simulations with different fidelities have been widely used in engineering
design and optimization. A high-fidelity (HF) model is generally more accurate but also more …
design and optimization. A high-fidelity (HF) model is generally more accurate but also more …
[HTML][HTML] Prospects of multi-paradigm fusion methods for fluid mechanics research
Experimental observation, theoretical research and numerical simulation are the basic
research paradigms in many disciplines, including fluid mechanics. Since the 21st century …
research paradigms in many disciplines, including fluid mechanics. Since the 21st century …
Multiple aerodynamic coefficient prediction of airfoils using a convolutional neural network
H Chen, L He, W Qian, S Wang - Symmetry, 2020 - mdpi.com
Both symmetric and asymmetric airfoils are widely used in aircraft design and manufacture,
and they have different aerodynamic characteristics. In order to improve flight performance …
and they have different aerodynamic characteristics. In order to improve flight performance …
A surrogate-assisted evolution strategy for constrained multi-objective optimization
R Datta, RG Regis - Expert Systems with Applications, 2016 - Elsevier
In many real-world optimization problems, several conflicting objectives must be achieved
and optimized simultaneously and the solutions are often required to satisfy certain …
and optimized simultaneously and the solutions are often required to satisfy certain …
Investigation on the abilities of different artificial intelligence methods to predict the aerodynamic coefficients
S Yetkin, S Abuhanieh, S Yigit - Expert Systems with Applications, 2024 - Elsevier
Abstract The Computational Fluid Dynamics (CFD) simulations at different fidelity levels are
a common tool for predicting the aerodynamic performance in many engineering …
a common tool for predicting the aerodynamic performance in many engineering …