Experimental characterisation of sloshing tank dissipative behaviour in vertical harmonic excitation

F Saltari, M Pizzoli, G Coppotelli, F Gambioli… - Journal of fluids and …, 2022 - Elsevier
The effort to reduce costs and environmental impact of modern commercial aircraft requires
an ever better understanding of aircraft physics, including the characterisation of the …

Sloshing reduced-order model based on neural networks for aeroelastic analyses

F Saltari, M Pizzoli, F Gambioli, C Jetzschmann… - Aerospace Science and …, 2022 - Elsevier
A thorough understanding of the effects of sloshing on aircraft dynamic loads is of great
relevance for the future design of flexible aircraft to be able to reduce their structural mass …

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

M Pizzoli, F Saltari, F Mastroddi… - Nonlinear …, 2022 - Springer
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 …

Sloshing reduced-order model trained with Smoothed Particle Hydrodynamics simulations

J Martinez-Carrascal, M Pizzoli, F Saltari… - Nonlinear …, 2023 - Springer
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 …

Modeling sloshing damping for spacecraft: a smoothed particle hydrodynamics application

K Kotsarinis, MD Green, A Simonini, O Debarre… - Aerospace Science and …, 2023 - Elsevier
Characterizing the movement of space propellant in the tank subjected to maneuvers and
predicting its damping is a fundamental requirement for the success of space missions. In …

[HTML][HTML] Loads-based optimal fuel-usage strategy by using a neural-network-based reduced-order model for vertical sloshing

A Nerattini, M Pizzoli, J Martinez-Carrascal… - Aerospace Science and …, 2024 - Elsevier
This paper explores methods to reduce aircraft design loads through an optimal fuel usage
strategy, which maximises the beneficial effects of wing-tank sloshing-induced damping. A …

Manifold learning-based reduced-order model for full speed flow field

R Li, S Song - Physics of Fluids, 2024 - pubs.aip.org
Reduced-order models (ROMs) can effectively balance the accuracy and efficiency of
computational fluid dynamics (CFD). The nonlinear flow field characteristics cannot be …

Unsteady physics-based reduced order modeling for large-scale compressible aerodynamic applications

A Garbo, P Bekemeyer - Computers & Fluids, 2022 - Elsevier
A physics-based reduced order model is presented as a viable approach to accurately
predict unsteady flowfield solutions at a fraction of the computational time that is required by …

Sloshing reduced-order models for aeroelastic analyses of innovative aircraft configurations

M Colella, F Saltari, M Pizzoli, F Mastroddi - Aerospace Science and …, 2021 - Elsevier
The present paper introduces the sloshing effects on aeroelastic stability and response of
flying wing configurations. Using reduced order model based on data provided by …

Numerical simulation of the reorientation process under different conditions in a vane-type surface tension propellant tank

L Wang, X Zhang, Y Yun, J Liu, W Li… - Microgravity Science and …, 2022 - Springer
The fuel tank, as a significant component for the propellant system in satellites, plays an
important role in managing propellant and maintaining stability through its propellant …