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A fuzzy stochastic correlation model for geometric imperfections of cylindrical shells

DC Field Value Language
dc.contributor.authorFina, Marc-
dc.contributor.authorWeber, Patrick-
dc.contributor.authorWagner, Werner-
dc.date.accessioned2019-05-14T03:10:29Z-
dc.date.available2019-05-14T03:10:29Z-
dc.date.issued2019-05-26-
dc.identifier.citation13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019-
dc.identifier.isbn979-11-967125-0-1-
dc.identifier.otherICASP13-479-
dc.identifier.urihttps://hdl.handle.net/10371/153555-
dc.description.abstractGeometric imperfections are the major part of the disagreement between theoretically and experimentally determined buckling loads of thin walled cylindrical shells. In a common probabilistic approach the spatial varying imperfections are modeled as Gaussian random fields. Due to the underlying uncertainties like a small sample size or imprecise measurements it is practically impossible to define crisp input parameter for a random field representation, e.g., correlations. In this paper, the classical probabilistic approach is therefore extended to a fuzzy stochastic approach by using a polymorphic uncertainty model (fp-r) from Graf et al. (2015). This allows to take into account natural variability and incompleteness aiming to consider aleatory and epistemic uncertainties in a decision making process.-
dc.language.isoen-
dc.titleA fuzzy stochastic correlation model for geometric imperfections of cylindrical shells-
dc.typeConference Paper-
dc.identifier.doi10.22725/ICASP13.479-
dc.sortNo521-
dc.citation.pages2346-2353-
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