Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces

Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces

In aerodynamic shape optimization, geometric parameterized variables have a significant impact on the flow field, thereby influencing both the effectiveness and efficiency of the optimization process. This paper utilizes flow field data from computational fluid dynamics (CFD) to develop a data-drive...

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Bibliographic Details
Main Authors: Xiaoyu Xu, Hongbo Chen, Chenliang Zhang, Yanhui Duan, Guangxue Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Aerospace
Subjects:
data-driven
sensitivity analysis
geometric parameterized variables
design space variation
drag reduction
Online Access:https://www.mdpi.com/2226-4310/11/12/984
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