Results 11 to 20 of about 67,904 (291)

Multi-object aerodynamic design optimization using deep reinforcement learning

open access: yesAIP Advances, 2021
Aerodynamic design optimization is a key aspect in aircraft design. The further evolution of advanced aircraft derivatives requires a powerful optimization toolbox.
Xinyu Hui   +5 more
doaj   +1 more source

Aerodynamic Data-Driven Surrogate-Assisted Teaching-Learning-Based Optimization (TLBO) Framework for Constrained Transonic Airfoil and Wing Shape Designs

open access: yesAerospace, 2022
The surrogate-assisted optimization (SAO) process can utilize the knowledge contained in the surrogate model to accelerate the aerodynamic optimization process.
Xiaojing Wu, Zijun Zuo, Long Ma
doaj   +1 more source

Non-parametric Aerodynamic Shape Optimization [PDF]

open access: yes, 2011
Numerical schemes for large scale shape optimization are considered. Exploiting the structure of shape optimization problems is shown to lead to very efficient optimization methods based on non-parametric surface gradients in Hadamard form. The resulting loss of regularity is treated using higher-order shape Newton methods where the shape Hessians are ...
Gauger, Nicolas   +3 more
openaire   +2 more sources

Machine learning in aerodynamic shape optimization

open access: yesProgress in Aerospace Sciences, 2022
Machine learning (ML) has been increasingly used to aid aerodynamic shape optimization (ASO), thanks to the availability of aerodynamic data and continued developments in deep learning. We review the applications of ML in ASO to date and provide a perspective on the state-of-the-art and future directions. We first introduce conventional ASO and current
Jichao Li   +2 more
openaire   +2 more sources

Design Optimization of a Multi-Megawatt Wind Turbine Blade with the NPU-MWA Airfoil Family

open access: yesEnergies, 2019
A new airfoil family, called NPU-MWA (Northwestern Polytechnical University Multi-megawatt Wind-turbine A-series) airfoils, was designed to improve both aerodynamic and structural performance, with the outboard airfoils being designed at high design lift
Jianhua Xu   +3 more
doaj   +1 more source

Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate Optimization

open access: yesInternational Journal of Aerospace Engineering, 2021
Hypersonic vehicle has gained increasing attention due to its high cruise speed and long voyage. In this paper, an enhanced Sequential Approximate Optimization method is proposed for aerodynamic optimization of a hypersonic vehicle.
Wenjie Wang   +5 more
doaj   +1 more source

An Improved Multi-Objective Particle Swarm Optimization Method for Rotor Airfoil Design

open access: yesAerospace, 2023
In this study, a multi-objective aerodynamic optimization is performed on the rotor airfoil via an improved MOPSO (multi-objective particle swarm optimization) method.
Yongchuan Wu, Gang Sun, Jun Tao
doaj   +1 more source

Surrogate-Based Aerodynamic Design Optimization: Use of Surrogates in Aerodynamic Design Optimization [PDF]

open access: yesInternational Conference on Aerospace Sciences and Aviation Technology, 2009
The role of optimization in various practical applications has been increasing over the years. In the field of aerodynamics, design optimization is rapidly evolving in many ways. One of the latest developments in this field is the introduction of surrogates or metamodels.
M. Ahmed, N. Qin
openaire   +1 more source

Optimization and Design of a Flexible Droop-Nose Leading-Edge Morphing Wing Based on a Novel Black Widow Optimization Algorithm—Part I

open access: yesDesigns, 2022
An aerodynamic optimization for a Droop-Nose Leading-Edge (DNLE) morphing of a well-known UAV, the UAS-S45, is proposed, using a novel Black Widow Optimization (BWO) algorithm.
Musavir Bashir   +3 more
doaj   +1 more source

Robust multi-fidelity design of a micro re-entry unmanned space vehicle [PDF]

open access: yes, 2011
This article addresses the preliminary robust design of a small-scale re-entry unmanned space vehicle by means of a hybrid optimization technique. The approach, developed in this article, closely couples an evolutionary multi-objective algorithm with a ...
Aupoix B.   +9 more
core   +1 more source

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