Neural network-based aeroelastic system identification for predicting flutter of high flexibility wings

Neural network-based aeroelastic system identification for predicting flutter of high flexibility wings

Abstract Flutter is an extremely significant academic topic in both aerodynamics and aircraft design. Since flutter can cause multiple types of phenomena including bifurcation, period doubling, and chaos, it becomes one of the most unpredictable instability phenomena. The complexity of modeling aero...

Full description

Saved in:
Bibliographic Details
Main Authors: Qing Guo, Xiaoqiang Li, Zhijie Zhou, Dexiao Ma, Yuzhuo Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Flutter
High Flexibility wings
Neural network
Aeroelasticity
Online Access:https://doi.org/10.1038/s41598-024-82573-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items