Sloshing Wing Dynamics - 2nd Year Project Overview

Gambioli, Francesco; Chamos, Apostolos; Levenhagen, Jens; Behruzi, Philipp; Mastroddi, Franco; Malan, Arnaud G.; Longshaw, Stephen; Skillen, Alex; Cooper, Jonathan E.; González, Leo M.; Marrone, S.

doi:10.2514/6.2022-1341

Cited by 12 publications

(14 citation statements)

References 26 publications

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“…In this context, the European SLOshing Wing Dynamics (SLOWD) research project [1,2] investigates how the fuel slosh affects the damping of the civil aircraft wings oscillations. One of the main objectives of the SLOWD project is to tackle the vertical and violent sloshing problem using different methodologies, namely, experimental [3][4][5], numerical [6][7][8][9][10][11] and based on Reduced Order Models (ROMs) [12][13][14][15].…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…We focus our work on the analysis of a set of physical experiments carried out at the Airbus Protospace facilities in Filton (UK) in August 2018. The campaign demonstrated that liquid sloshing affects the dynamics of a free-vibrating cantilever beam, leading to a substantive increase in its damping characteristics (Gambioli et al, 2019;Titurus et al, 2019). These preliminary findings formed the basis for the SLOshing Wing Dynamics (SLOWD) H2020 project, which aims to exploit the potential of fuel sloshing as a mean for aircraft loads alleviation (Gambioli et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Proper orthogonal decomposition, dynamic mode decomposition, wavelet and cross wavelet analysis of a sloshing flow

Pagliaroli

Gambioli

Saltari

et al. 2022

Journal of Fluids and Structures

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“…Therefore, a reliable prediction of the sloshing dynamics is essential for the design and operation of the system subjected to sloshing influence. This work forms part of the wider EU Horizon 2020 SLOWD (SLOshing Wing Dynamics) project and investigates the physics of fuel sloshing in the context of wing-like structures in order to build reliable experimental, numerical and theoretical modelling frameworks that inform future wing designs and reduce design conservatism [10,11].…”

Section: Introductionmentioning

confidence: 99%

On the Efficacy of Turbulence Modelling for Sloshing

et al. 2022

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As part of a wider project to understand the applicability of utilising slosh-based damping for wing-like structures, simulations of partially filled tanks subjected to harmonically oscillating and vertical motion are presented. The Volume of Fluid modelling approach is used to capture the air–water interface and different turbulence models based on the Reynolds Averaged Navier–Stokes equations employed. No-model simulations are also conducted to demonstrate the efficacy of using turbulence models in the simulation of sloshing flows. Accuracy of the models is assessed by comparing with recent well-validated experimental data in terms of the damping effect of the sloshing. A wide range of excitation amplitudes are considered in the study to demonstrate the effectiveness of different turbulence models in representing the flow feature of weak and very violent sloshing. The results show that standard turbulence models can produce an excessive dissipation, especially at the interface, leading to inaccuracies in the estimation of sloshing dynamics of the violent sloshing. This issue is absent in the no-model simulations, and better results are obtained for all tested sloshing conditions, suggesting approaches to mitigate this interfacial dissipation within RANS-based modelling is an important consideration for future direction.

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Sloshing Wing Dynamics - 2nd Year Project Overview

Cited by 12 publications

References 26 publications

Sloshing reduced-order model trained with Smoothed Particle Hydrodynamics simulations

Sloshing reduced-order model trained with Smoothed Particle Hydrodynamics simulations

Proper orthogonal decomposition, dynamic mode decomposition, wavelet and cross wavelet analysis of a sloshing flow

On the Efficacy of Turbulence Modelling for Sloshing

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