Zobrazeno 1 - 10
of 4 386
pro vyhledávání: '"Earl, H."'
Autor:
Candon, Michael, Balajewicz, Maciej, Delgado-Gutierrez, Arturo, Marzocca, Pier, Dowell, Earl H.
Nonlinear aeroelastic reduced-order models (ROMs) based on machine learning or artificial intelligence algorithms can be complex and computationally demanding to train, meaning that for practical aeroelastic applications, the conservative nature of l
Externí odkaz:
http://arxiv.org/abs/2408.16941
In this paper, we present novel identification strategies to develop a unified framework for vortex-induced vibration (VIV) prediction based on the general semi-empirical wake oscillator. Greybox nonlinear system identification method accompanying hi
Externí odkaz:
http://arxiv.org/abs/2406.04538
Recent efforts have shown machine learning to be useful for the prediction of nonlinear fluid dynamics. Predictive accuracy is often a central motivation for employing neural networks, but the pattern recognition central to the network function is eq
Externí odkaz:
http://arxiv.org/abs/2208.09663