The role of time integration in energy conservation in Smoothed Particle Hydrodynamics fluid dynamics simulations

Cercos-Pita, Jose Luis; Merino-Alonso, P. E.; Calderon-Sanchez, Javier; Duque, Daniel

doi:10.1016/j.euromechflu.2022.09.001

Cited by 5 publications

(1 citation statement)

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“…To overcome this issue two approaches could be adopted: implement an implicit time integration scheme as done in Ref. [55] (in which case the use of artificial diffusion terms could also be avoided) or use Velocity-divergence Error Mitigating (VEM) and Volume Conservation Shifting (VCS) schemes that ensure a divergence-free velocity field (see Ref. [56]).…”

Section: Validation Against Experimental Decay Testsmentioning

confidence: 99%

Sloshing reduced-order model trained with Smoothed Particle Hydrodynamics simulations

Martinez-Carrascal,

Pizzoli,

Saltari

et al. 2023

Nonlinear Dyn

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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 accurately predicting critical aspects of the vertical sloshing problem while requiring minimal computational resources.

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Section: Validation Against Experimental Decay Testsmentioning

confidence: 99%