Utilizing global-local neural networks for the analysis of non-linear aerodynamics-Reference-Cited by-同舟云学术

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Utilizing global-local neural networks for the analysis of non-linear aerodynamics

Published:2024-09 Issue: Volume:152 Page:109359
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Moni Abhijith^ORCID,Yao Weigang^ORCID,Malekmohamadi Hossein^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Structural and aeroelastic characteristics of wing model for transonic flutter wind tunnel test fabricated by additive manufacturing with alsi10mg alloys;Tsushima;Aerosp. Sci. Technol.,2023

2. Nonlinear aeroelasticity;Dowell;J. Aircr.,2003

3. Computational investigation of conventional and active-flow-control-enabled high-lift configurations;Vatsa;J. Aircr.,2021

4. Multidisciplinary optimization of high aspect ratio composite wings with geometrical nonlinearity and aeroelastic tailoring;Ahmadi;Aerosp. Sci. Technol.,2024

5. Multidisciplinary design optimization of twin-fuselage aircraft with boundary-layer-ingesting distributed propulsion;Ma;J. Aircr.,2022

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