2006
DOI: 10.1002/nme.1883
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Probabilistic safety analysis of structures under hybrid uncertainty

Abstract: SUMMARYThe probabilistic and the possibilistic methods of safety evaluation of structure under uncertain parameters have been developed independently. When the structural system is defined with some of the input parameters as possibilistic and others are sufficient enough to model as probabilistic, available literatures normally start with either probabilistic or possibilistic description of all the variables. This may pose restriction on necessary flexibility to the designer at early stage of modelling of the… Show more

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Cited by 46 publications
(27 citation statements)
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“…That is to say, the results transformed by Bayes approach embody the maximum uncertainty, which means minimum subjective preference and maximum random. 23,36 Now, in order to prove this point, we make the following analysis.…”
Section: Reliability Analysis Procedures With Hybrid Uncertaintiesmentioning
confidence: 98%
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“…That is to say, the results transformed by Bayes approach embody the maximum uncertainty, which means minimum subjective preference and maximum random. 23,36 Now, in order to prove this point, we make the following analysis.…”
Section: Reliability Analysis Procedures With Hybrid Uncertaintiesmentioning
confidence: 98%
“…The radius t is assumed as epistemic variable and is presented by ET. However, the data are often coming from multiple sources, and we can use evidence combination method as equations (23) to (25). The distributions can be represented by Table 2.…”
Section: Examplementioning
confidence: 99%
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“…However, structural problems can be considered as “uncertain” in the absence of the knowledge about the theoretical model due to the parameter uncertainties, experts' judgments, and operational errors . Considering the existence of such uncertainties rather than eliminating them can lead to a more cost effective design . In engineering practice, in addition to randomness which can be obtained through statistical analysis, there are epistemic uncertainty caused by the loss of information, limited knowledge, and inevitable human errors, which are also called the aleatory and epistemic uncertainty.…”
Section: Introductionmentioning
confidence: 99%