Sparse Pressure-Based Machine Learning Approach for Aerodynamic Loads Estimation During Gust Encounters

Estimation of aerodynamic loads is a significant challenge in complex gusty environments due to the associated complexities of flow separation and strong nonlinearities. In this study, we explore the practical feasibility of multilayer perceptron (MLP) for estimating aerodynamic loads in gusts, when...

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Veröffentlicht in:	AIAA journal 2024-01, Vol.62 (1), p.275-290
Hauptverfasser:	Chen, Dashuai, Kaiser, Frieder, Hu, JiaCheng, Rival, David E., Fukami, Kai, Taira, Kunihiko
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerodynamic loads Delta wings Dynamic response Estimation Flow separation Gust loads Gusts Machine learning Multilayer perceptrons Nonlinearity Pressure Rocket launches Sensitivity analysis
Online-Zugang:	Volltext
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