A variance-based estimation of the resilience indices in the preliminary design optimisation of engineering systems under epistemic uncertainty
Ortega Absil, Carlos and Filippi, Gianluca and Riccardi, Annalisa and Vasile, Massimiliano (2017) A variance-based estimation of the resilience indices in the preliminary design optimisation of engineering systems under epistemic uncertainty. In: EUROGEN 2017, 2017-09-13 - 2017-09-15, Naval Engineering School.
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This paper presents novel heuristics for the fast conservative approximation of resilience indices in the preliminary design optimisation of engineering systems under uncertainty. Since the uncertain in the early phases of the design process is mainly of an epistemic nature, Dempster–Shafer theory of evidence is proposed as the reasoning framework. The heuristics proposed in this paper are used to partition the uncertainty space in a collection of subsets that is smaller than the full set of focal elements but still provides a good approximation of Belief and Plausibility. Under suitable assumptions, this methodology renders the approximation of the Belief and Plausibility curves cost-effective for large-scale evidence-based models. Its application to the preliminary-design sizing of a small spacecraft solar array under epistemic uncertainty will be demonstrated.
ORCID iDs
Ortega Absil, Carlos ORCID: https://orcid.org/0000-0001-6920-4333, Filippi, Gianluca, Riccardi, Annalisa ORCID: https://orcid.org/0000-0001-5305-9450 and Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465;-
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Item type: Conference or Workshop Item(Paper) ID code: 62441 Dates: DateEvent25 September 2017Published8 July 2017AcceptedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Technology and Innovation Centre > Advanced Engineering and Manufacturing
Strategic Research Themes > Ocean, Air and SpaceDepositing user: Pure Administrator Date deposited: 27 Nov 2017 14:41 Last modified: 11 Nov 2024 16:52 URI: https://strathprints.strath.ac.uk/id/eprint/62441