Dynamical Data-Driven Model Order Reduction for nonlinear Fluid-Structure Interaction problems
Published in 25è Congrès Français de Mécanique, 2022
This conference paper presents dynamical data-driven model order reduction techniques for nonlinear fluid-structure interaction problems, presented at the 25th French Congress of Mechanics in Nantes, France.
Recommended citation: Azzeddine Tiba, Thibault Dairay, Florian De Vuyst, Iraj Mortazavi, Juan Pedro Berro Ramirez. (2022). "Dynamical Data-Driven Model Order Reduction for nonlinear Fluid-Structure Interaction problems." 25è Congrès Français de Mécanique. pp. 151-158.