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A fuzzy stochastic correlation model for geometric imperfections of cylindrical shells
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Fina, Marc | - |
dc.contributor.author | Weber, Patrick | - |
dc.contributor.author | Wagner, Werner | - |
dc.date.accessioned | 2019-05-14T03:10:29Z | - |
dc.date.available | 2019-05-14T03:10:29Z | - |
dc.date.issued | 2019-05-26 | - |
dc.identifier.citation | 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019 | - |
dc.identifier.isbn | 979-11-967125-0-1 | - |
dc.identifier.other | ICASP13-479 | - |
dc.identifier.uri | https://hdl.handle.net/10371/153555 | - |
dc.description.abstract | Geometric 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.iso | en | - |
dc.title | A fuzzy stochastic correlation model for geometric imperfections of cylindrical shells | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.22725/ICASP13.479 | - |
dc.sortNo | 521 | - |
dc.citation.pages | 2346-2353 | - |
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