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dc.contributor.authorPedrioli, Andrea-
dc.contributor.authorCapone, Pierluigi-
dc.contributor.authorRighi, Marcello-
dc.contributor.authorGarcia-Sanchez, Elena-
dc.contributor.authorPinsard, Laurent-
dc.contributor.authorVieira Gomes, Joana-
dc.date.accessioned2024-02-09T15:44:17Z-
dc.date.available2024-02-09T15:44:17Z-
dc.date.issued2024-01-10-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29884-
dc.descriptionProject website: https://www.zhaw.ch/en/engineering/institutes-centres/zav/air-vehicle-design-and-technology/flight-mechanics-and-flight-control-systems/model-si/de_CH
dc.description.abstractWith this paper we present the project MODEL-SI, which is funded by the Horizon Europe and managed by the European Union Aviation Safety Agency (EASA). It aims at assessing the goodness of state-of-art modelling techniques as they are applied to eVTOL aircraft and the potential savings in flight testing costs, if a digital twin is exploited during the certification process. The aim of the project could also be reformulated by saying that (i) eVTOL aircraft exhibit peculiar aerodynamics phenomena and may experience very interesting dynamic responses to perturbations such as wind gusts, and (ii) state of art modelling and multi-fidelity in particular may turn out to be an effective approach to the exploration of the flight envelope with all relevant configurations. As a matter of fact, we know that some fast, low-fidelity model is necessary to cover flight envelope and a number of configurations; moreover, we expect local, mid- and high-fidelity modelling to be indispensable to capture some of the flow mechanics patterns (typically, the interactions rotor-rotor and rotor-wing). Finally, we expect machine learning to play a role in our project or even to be instrumental. Trivially, we plan to exploit gaussian processes and / or neural networks to combine data from low-, mid- and high-fidelity physics-based models into a fast yet accurate surrogate model. However, pattern-recognition may also be exploited to acquire a deeper understanding of the physics involved; for instance, this can happen from CFD-generated or experimental data. The physics-based simulation model architecture is presented together with the workflow of the data-driven models and how they are integrated in a simulation environment.de_CH
dc.language.isoende_CH
dc.publisherAmerican Institute of Aeronautics and Astronauticsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectSimulationde_CH
dc.subjectFlight testingde_CH
dc.subjectDigital twinde_CH
dc.subject.ddc003: Systemede_CH
dc.subject.ddc629: Luftfahrt- und Fahrzeugtechnikde_CH
dc.titleMODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certificationde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Mechanische Systeme (IMES)de_CH
zhaw.organisationalunitZentrum für Aviatik (ZAV)de_CH
dc.identifier.doi10.2514/6.2024-1624de_CH
zhaw.conference.detailsAmerican Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024de_CH
zhaw.funding.euNot specifiedde_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedAerodynamicsde_CH
zhaw.webfeedFlight Mechanics and Flight Control Systemsde_CH
zhaw.webfeedSimulation and Optimizationde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Pedrioli, A., Capone, P., Righi, M., Garcia-Sanchez, E., Pinsard, L., & Vieira Gomes, J. (2024, January 10). MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification. American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. https://doi.org/10.2514/6.2024-1624
Pedrioli, A. et al. (2024) ‘MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification’, in American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. American Institute of Aeronautics and Astronautics. Available at: https://doi.org/10.2514/6.2024-1624.
A. Pedrioli, P. Capone, M. Righi, E. Garcia-Sanchez, L. Pinsard, and J. Vieira Gomes, “MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification,” in American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024, Jan. 2024. doi: 10.2514/6.2024-1624.
PEDRIOLI, Andrea, Pierluigi CAPONE, Marcello RIGHI, Elena GARCIA-SANCHEZ, Laurent PINSARD und Joana VIEIRA GOMES, 2024. MODEL-SI : modeling and simulation - multi-fidelity surrogate model of an eVTOL for certification. In: American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. Conference paper. American Institute of Aeronautics and Astronautics. 10 Januar 2024
Pedrioli, Andrea, Pierluigi Capone, Marcello Righi, Elena Garcia-Sanchez, Laurent Pinsard, and Joana Vieira Gomes. 2024. “MODEL-SI : Modeling and Simulation - Multi-Fidelity Surrogate Model of an eVTOL for Certification.” Conference paper. In American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024. American Institute of Aeronautics and Astronautics. https://doi.org/10.2514/6.2024-1624.
Pedrioli, Andrea, et al. “MODEL-SI : Modeling and Simulation - Multi-Fidelity Surrogate Model of an eVTOL for Certification.” American Institute of Aeronautics and Astronautics Science and Technology Forum and Exposition (AIAA SciTech Forum), Orlando, USA, 8-12 January 2024, American Institute of Aeronautics and Astronautics, 2024, https://doi.org/10.2514/6.2024-1624.


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