Nonlinear reduced-order model for vertical sloshing by employing neural networks

The aim of this work is to provide a reduced-order model to describe the dissipative behavior of nonlinear vertical sloshing involving Rayleigh–Taylor instability by means of a feed forward neural network. A 1-degree-of-freedom system is taken into account as representative of fluid–structure intera...

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Veröffentlicht in:	Nonlinear dynamics 2022, Vol.107 (2), p.1469-1478
Hauptverfasser:	Pizzoli, Marco, Saltari, Francesco, Mastroddi, Franco, Martinez-Carrascal, Jon, González-Gutiérrez, Leo M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automotive Engineering Bouncing Boundary conditions Classical Mechanics Control Dynamical Systems Engineering Fluid-structure interaction Mechanical Engineering Neural networks Original Paper Reduced order models Taylor instability Vibration
Online-Zugang:	Volltext
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