TY - GEN UR - http://lib.ugent.be/catalog/pug01:7142613 ID - pug01:7142613 LA - eng TI - Bayesian updated time-dependent chloride-induced corrosion assessment using redundancy factors PY - 2015 PB - 2015 AU - Botte, Wouter TW14 000080189997 802001602051 0000-0003-1355-1517 AU - Caspeele, Robby TW14 002001067358 802000019840 0000-0003-4074-7478 AU - Taerwe, Luc CA05 AB - In order to assess the structural reliability and redundancy with respect to deterioration, it is required to select appropriate models which describe the deterioration process. The parameters associated with these models have to be estimated through statistical interference, which introduces uncertainties in parameter estimates. As the structural reliability indices which are incorporated in the reliability-based redundancy factor can be considered as random variable, this redundancy factor itself is a random variable as well. In case additional information becomes available, the distribution function can be updated by taking into account this extra information. In this contribution, a framework is developed, which allows for the incorporation of additional information in the uncertain reliability index and the associated redundancy factor through Bayesian updating. It is shown that in case additional information on a main variable is gathered, this has a significant effect on the (mean) value and uncertainty of the reliability index and the associated redundancy factor. ER -Download RIS file
00000nam^a2200301^i^4500 | |||
001 | 7142613 | ||
005 | 20161219153736.0 | ||
008 | 160310s2015------------------------eng-- | ||
024 | a 1854/LU-7142613 2 handle | ||
024 | a 10.14288/1.0076133 2 doi | ||
040 | a UGent | ||
245 | a Bayesian updated time-dependent chloride-induced corrosion assessment using redundancy factors | ||
260 | c 2015 | ||
520 | a In order to assess the structural reliability and redundancy with respect to deterioration, it is required to select appropriate models which describe the deterioration process. The parameters associated with these models have to be estimated through statistical interference, which introduces uncertainties in parameter estimates. As the structural reliability indices which are incorporated in the reliability-based redundancy factor can be considered as random variable, this redundancy factor itself is a random variable as well. In case additional information becomes available, the distribution function can be updated by taking into account this extra information. In this contribution, a framework is developed, which allows for the incorporation of additional information in the uncertain reliability index and the associated redundancy factor through Bayesian updating. It is shown that in case additional information on a main variable is gathered, this has a significant effect on the (mean) value and uncertainty of the reliability index and the associated redundancy factor. | ||
598 | a C1 | ||
100 | a Botte, Wouter u TW14 0 000080189997 0 802001602051 0 0000-0003-1355-1517 | ||
700 | a Caspeele, Robby u TW14 0 002001067358 0 802000019840 0 0000-0003-4074-7478 | ||
700 | a Taerwe, Luc u CA05 u TW14 0 801000375731 | ||
650 | a Technology and Engineering | ||
773 | t Applications of Statistics and Probability in Civil Engineering (ICASP12) g Applications of Statistics and Probability in Civil Engineering. 2015. p.1-8 q :<1 | ||
856 | 3 Full Text u https://biblio.ugent.be/publication/7142613/file/7142622 z [open] y Bayesian_updated_time-dependent_chloride-induced_corrosion_assessment.pdf | ||
920 | a confcontrib | ||
852 | x EA b TW14 | ||
922 | a UGENT-EA |
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