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Titel:

Mixed aleatory-epistemic uncertainty quantification and sensitivity analysis

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Kamariotis, A.; Antinori, G.; Papaioannou, I.; Duddeck F.
Abstract:
This work investigates the modelling of epistemic input parameter uncertainties, and the numerical techniques for uncertainty quantification and uncertainty-based sensitivity analysis in the presence of both aleatory and epistemic uncertainties. Two different approaches are used, the interval valued probability (IVP) method and the Bayesian probabilistic (BP) method. In both cases, a double loop method is used to computationally separate the two different uncertainty types and propagate them wi...     »
Kongress- / Buchtitel:
17th International Probabilistic Workshop
Jahr:
2019
Seiten:
6
Sprache:
en
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