Aircraft design system requirements analysis with Bayesian Networks

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dc.contributor.authorSpinelli, Andrea
dc.contributor.authorKipouros, Timoleon
dc.date.accessioned2025-02-26T15:04:02Z
dc.date.available2025-02-26T15:04:02Z
dc.date.freetoread2025-02-26
dc.date.issued2025-01-06
dc.date.pubOnline2025-01-03
dc.description.abstractThis paper introduces readers with the application of Bayesian Networks in conceptual design tasks. These models can represent in a graph the cause-and-effect logic of requirements and enable the analysis of uncertainty in decision making. A syntax for converting a requirement into a Bayesian network query is also presented. These concepts are applied on a wing design example to demonstrate the flexibility of a Bayesian Network in answering design-related questions. In particular, a feasible design space is identified through inference of the requirements onto the input parameters. This is useful to narrow down configurations for further detailed analysis with an optimization algorithm. The model is capable of estimating the quantities of interest and the effect of the requirement uncertainty on the system variables. Through proper data collection and integration with digital engineering methods, a system-wide Bayesian network would enable reasoning between systems and components, accelerating the industrial development of complex products.
dc.description.conferencenameAIAA SCITECH 2025 Forum
dc.description.sponsorshipThis project has received funding from Innovate UK under Grant Agreement No 10003388.
dc.identifier.citationSpinelli A, Kipouros T. (2025) Aircraft design system requirements analysis with Bayesian Networks. In: AIAA SCITECH 2025 Forum, 6-10 January 2025, Orlando, FL, USA. Paper number AIAA 2025-2032
dc.identifier.elementsID564668
dc.identifier.paperNoAIAA 2025-2032
dc.identifier.urihttps://doi.org/10.2514/6.2025-2032
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23521
dc.language.isoen
dc.publisherAIAA
dc.publisher.urihttps://arc.aiaa.org/doi/10.2514/6.2025-2032
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleAircraft design system requirements analysis with Bayesian Networks
dc.typeConference paper
dcterms.coverageOrlando, FL
dcterms.dateAccepted2024-08-26
dcterms.temporal.endDate10-Jan-2025
dcterms.temporal.startDate6-Jan-2025

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