Results 171 to 180 of about 224,566 (258)

Aerodynamic Shape Optimization of a Stator

Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions
In this paper, a numerical study conducted on a compressor stator is presented. The results are compared with existing literature and experimental data. For this purpose, a grid refinement study for the baseline geometry at the design condition with an
Payam Dehpanah   +3 more
semanticscholar   +2 more sources

Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization

Computer Methods in Applied Mechanics and Engineering, 2021
In the present study, an effective optimization framework of aerodynamic shape design is established based on the multi-fidelity deep neural network (MFDNN) model. The objective of the current work is to construct a high-accuracy multi-fidelity surrogate
Xinshuai Zhang   +4 more
semanticscholar   +1 more source

Efficient Mesh Generation and Deformation for Aerodynamic Shape Optimization

, 2021
Mesh generation and deformation are critical elements in gradient-based aerodynamic shape optimization (ASO).
N. Sêcco   +4 more
semanticscholar   +1 more source

Aerodynamic Shape Optimization of a Supersonic Transport Considering Low-Speed Stability

AIAA SCITECH 2022 Forum, 2022
Designing supersonic transport aircraft requires accounting for performance and stability and high-speed and low-speed conditions. Previous work demonstrated that there is a trade-off between high-speed performance and low-speed stability.
Sabet Seraj, J. Martins
semanticscholar   +1 more source

Massively parallel aerodynamic shape optimization

Computing Systems in Engineering, 1992
Abstract We consider the problem of finding the shape of an airfoil which produces a pressure distribution closest to a desired one. The flow is modeled by the nonlinear potential equations of compressible flow. The problem is formulated as an optimization problem constrained by a discrete approximation to a nonlinear boundary value problem.
C.E. Orozco, O.N. Ghattas
openaire   +2 more sources

On deep-learning-based geometric filtering in aerodynamic shape optimization

, 2021
Geometric filtering based on deep-learning models has been shown to be effective to shrink the design space and improve the efficiency of aerodynamic shape optimization.
Ji-chao Li, Mengqi Zhang
semanticscholar   +1 more source

Multi-objective aerodynamic shape optimization of a streamlined high-speed train using Kriging model

Journal of Zhejiang University: Science A, 2022
With continuous changes to energy-saving requirements, the task of train aerodynamic optimization becomes important. Traditional aerodynamic optimization of a high-speed train is carried out assuming the same shape of the head and tail cars, which ...
Le Zhang   +3 more
semanticscholar   +1 more source

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