Results 11 to 20 of about 69,093 (209)

Multi-objective aerodynamic optimization design of high-speed maglev train nose [PDF]

open access: yesRailway Sciences, 2022
Purpose – The nose length is the key design parameter affecting the aerodynamic performance of high-speed maglev train, and the horizontal profile has a significant impact on the aerodynamic lift of the leading and trailing cars Hence, the study analyzes
Shuanbao Yao, Dawei Chen, Sansan Ding
doaj   +1 more source

Optimal design of watt six-bar transmission mechanism for morphing trailing edge [PDF]

open access: yesE3S Web of Conferences, 2021
The morphing trailing edge could realize a continuous smooth deformation compared with conventional trailing edge, which effectively improves the aerodynamic performance.
Zhou Jin, Zhao Shiwei
doaj   +1 more source

Example of a Pitfall in Aerodynamic Shape Optimization [PDF]

open access: yesAIAA Journal, 2018
The Applied Aerodynamics Technical Committee of AIAA launched an optimization discussion group, the Aerodynamic Design Optimization Discussion Group, in 2013.
Desterac, Daniel   +6 more
openaire   +3 more sources

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

Multi-Objective Aerodynamic Optimization of a High-Speed Train Head Shape Based on an Optimal Kriging Model [PDF]

open access: yesJournal of Applied Fluid Mechanics, 2022
An optimal Kriging surrogate model based on a 5-fold cross-validation method and improved artificial fish swarm optimization is developed for improving the aerodynamic optimization efficiency of a high-speed train running in the open air.
Y. Yang, Z. He, Z. Shi, X. H. Xiong
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

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

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

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

Home - About - Disclaimer - Privacy