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Loads-based optimal fuel-usage strategy by using a neural-network-based reduced-order model for vertical sloshing
Cita
Nerattini, Alessia 
ORCID: https://orcid.org/0009-0006-8844-3851, Pizzoli, Marco ORCID: https://orcid.org/0000-0003-1700-6348, Martínez Carrascal, Jon ORCID: https://orcid.org/0000-0003-1110-6700, Saltari, Francesco ORCID: https://orcid.org/0000-0001-7461-0731, González Gutiérrez, Leo Miguel ORCID: https://orcid.org/0000-0002-1629-0001 and Mastroddi, Franco ORCID: https://orcid.org/0000-0001-5804-9577
(2024).
Loads-based optimal fuel-usage strategy by using a neural-network-based reduced-order model for vertical sloshing.
"Aerospace Science and Technology", v. 152
;
p. 109408.
ISSN 00341223.
https://doi.org/10.1016/j.ast.2024.109408.
ORCID: https://orcid.org/0009-0006-8844-3851, Pizzoli, Marco ORCID: https://orcid.org/0000-0003-1700-6348, Martínez Carrascal, Jon ORCID: https://orcid.org/0000-0003-1110-6700, Saltari, Francesco ORCID: https://orcid.org/0000-0001-7461-0731, González Gutiérrez, Leo Miguel ORCID: https://orcid.org/0000-0002-1629-0001 and Mastroddi, Franco ORCID: https://orcid.org/0000-0001-5804-9577
(2024).
Loads-based optimal fuel-usage strategy by using a neural-network-based reduced-order model for vertical sloshing.
"Aerospace Science and Technology", v. 152
;
p. 109408.
ISSN 00341223.
https://doi.org/10.1016/j.ast.2024.109408.
Descripción
| Título: | Loads-based optimal fuel-usage strategy by using a neural-network-based reduced-order model for vertical sloshing |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Aerospace Science and Technology |
| Fecha: | 1 Septiembre 2024 |
| ISSN: | 00341223 |
| Volumen: | 152 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Gust load alleviation; Neural Networks; Nonlinear vertical sloshing; Optimal fuel usag; Optimal fuel usage; Reduced Order Models |
| Escuela: | E.T.S.I. Navales (UPM) |
| Departamento: | Mecánica de Fluidos y Propulsión Aeroespacial |
| Grupo Investigación UPM: | Canal de Ensayos Hidrodinámicos de la E.T.S.I. Navales CEHINAV |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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 reduced-order neural network models the nonlinear sloshing behaviour in various tank fill level scenarios. Integrated into an aeroelastic framework, this model allows for the assessment of incremental sloshing-induced damping in gust response of wings. The optimised fuel usage strategy enables control of fuel consumption from each individual tank to provide maximisation of load alleviation.
Proyectos asociados
Tipo
Código
Acrónimo
Responsable
Título
Horizonte 2020
815044
SLOWD
Sin especificar
Investigating the impact of fuel movement on aircraft wing aerodynamics
https://cordis.europa.eu/project/id/815044
Más información
| ID de Registro: | 92820 |
|---|---|
| Identificador DC: | https://oa.upm.es/92820/ |
| Identificador OAI: | oai:oa.upm.es:92820 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/10242202 |
| Identificador DOI: | 10.1016/j.ast.2024.109408 |
| URL Oficial: | https://www.sciencedirect.com/science/article/pii/... |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 13 Ene 2026 15:07 |
| Ultima Modificación: | 14 Ene 2026 08:25 |
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