< Terug naar vorige pagina

Publicatie

Modelling Vortex-Induced Loads Using Recurrent Neural Networks

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

In this work recurrent neural networks of the LSTM type are used to describe unsteady fluid loading. Indirect load measurements are especially useful for structural health monitoring applications. Relying on discrete spatiotemporal measurements of the velocity field, both the forces and the corresponding displacement of a cylinder subjected to vortex shedding are modelled.
Boek: Modeling, Estimation and Control Conference MECC 2021
Edition: 20
Series: IFAC Proceedings Volumes
Volume: 54
Pagina's: 32-37
Aantal pagina's: 6
Jaar van publicatie:2021
Trefwoorden:Machine learning, vortex-induced vibrations, unsteady fluid dynamics, Long Short-Term Memory Recurrent Neural Networks
Toegankelijkheid:Open