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

HIGHLIGHTS

• who: Marco Pizzoli from the Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy have published the paper: Nonlinear reduced-order model for vertical sloshing by employing neural networks, in the Journal: (JOURNAL)
• what: 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. This work is therefore part of the research activity within the European project H2020 SLOshing Wing Dynamics (SLOWD) and aims at providing reducedorder models (ROMs . . .
  

   

  

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