The main goal of this paper is to provide a Reduced Order Model (ROM) able to predict the liquid induced dissipation of the violent and vertical sloshing problem for a wide range of liquid viscosities, surface tensions and tank filling levels. For that purpose, the Delta Smoothed Particle Hydrodynamics (δ-SPH) formulation is used to build a database of simulation cases where the physical parameters of the liquid are varied. For each simulation case, a bouncing ball-based equivalent mechanical model is identified to emulate sloshing dynamics. Then, an interpolating hypersurface-based ROM is defined to establish a mapping between the considered physical parameters of the liquid and the identified ball models. The resulting hypersurface effectively estimates the bouncing ball design parameters while considering various types of liquids, producing results consistent with SPH test simulations. Additionally, it is observed that the estimated bouncing ball model not only matches the liquid induced dissipation but also follows the liquid center of mass and presents the same sloshing force and phase-shift trends when varying the tank filling level. These findings provide compelling evidence that the identified ROM is a practical tool for ccurately predicting critical aspects of the vertical sloshing problem while requiring minimal computational resources.

Sloshing reduced-order model trained with smoothed particle hydrodynamics simulations / Martinez-Carrascal, Jon; Pizzoli, Marco; Saltari, Francesco; Mastroddi, Franco; Miguel González-Gutiérrez, Leo. - In: NONLINEAR DYNAMICS. - ISSN 1573-269X. - 111:22(2023), pp. 21099-21115. [10.1007/s11071-023-08940-7]

Sloshing reduced-order model trained with smoothed particle hydrodynamics simulations

Marco Pizzoli;Francesco Saltari;Franco Mastroddi;
2023

Abstract

The main goal of this paper is to provide a Reduced Order Model (ROM) able to predict the liquid induced dissipation of the violent and vertical sloshing problem for a wide range of liquid viscosities, surface tensions and tank filling levels. For that purpose, the Delta Smoothed Particle Hydrodynamics (δ-SPH) formulation is used to build a database of simulation cases where the physical parameters of the liquid are varied. For each simulation case, a bouncing ball-based equivalent mechanical model is identified to emulate sloshing dynamics. Then, an interpolating hypersurface-based ROM is defined to establish a mapping between the considered physical parameters of the liquid and the identified ball models. The resulting hypersurface effectively estimates the bouncing ball design parameters while considering various types of liquids, producing results consistent with SPH test simulations. Additionally, it is observed that the estimated bouncing ball model not only matches the liquid induced dissipation but also follows the liquid center of mass and presents the same sloshing force and phase-shift trends when varying the tank filling level. These findings provide compelling evidence that the identified ROM is a practical tool for ccurately predicting critical aspects of the vertical sloshing problem while requiring minimal computational resources.
2023
sloshing; nonlinear dynamics; reduced order models; smoothed particle hydrodynamics; liquid damping
01 Pubblicazione su rivista::01a Articolo in rivista
Sloshing reduced-order model trained with smoothed particle hydrodynamics simulations / Martinez-Carrascal, Jon; Pizzoli, Marco; Saltari, Francesco; Mastroddi, Franco; Miguel González-Gutiérrez, Leo. - In: NONLINEAR DYNAMICS. - ISSN 1573-269X. - 111:22(2023), pp. 21099-21115. [10.1007/s11071-023-08940-7]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1693743
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