2005
DOI: 10.1016/j.strusafe.2004.05.001
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Time-variant finite element reliability analysis – application to the durability of cooling towers

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Cited by 31 publications
(14 citation statements)
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“…This highlights the benefits that can be achieved by using significant quantities of GGBS, but also the sensitivity of the GGBS hydration reactions at high replacement levels. Effective chloride diffusion coefficient, based on [27] Varies, based on data from Table 6 0.2 Normal CO 2 concentration, based on [32] 0.05% 0.25 Lognormal Effective CO 2 diffusion coefficient, based on [27] Varies, based on data from Table 6 0.2 Normal…”
Section: Discussionmentioning
confidence: 99%
“…This highlights the benefits that can be achieved by using significant quantities of GGBS, but also the sensitivity of the GGBS hydration reactions at high replacement levels. Effective chloride diffusion coefficient, based on [27] Varies, based on data from Table 6 0.2 Normal CO 2 concentration, based on [32] 0.05% 0.25 Lognormal Effective CO 2 diffusion coefficient, based on [27] Varies, based on data from Table 6 0.2 Normal…”
Section: Discussionmentioning
confidence: 99%
“…The design concept for the upper graph with two distributions represents the service life period design concept, while the lower graph with one distribution represents the lifetime design concept [1]. Recently, many research approaches have been proposed that include spatial variation through random field generation of design parameters such as the diffusion coefficient and surface chloride content [57][58][59][60]; however, these techniques have not been attempted for actual durability design.…”
Section: Source Of Uncertaintymentioning
confidence: 99%
“…(8) can be calculated in the range of 95~145 kg/m 3 when cement content varies within 300~450 kg/m 3 . Carbonatable material of 100 kg/m 3 and 0.2 of COV in Table 2 is reasonable assumption for material properties (KCI, 2001;Sudret et al, 2005). Random variables regarding cover depth are assumed based on the field investigation results (Kwon et al, 2007;KCI, 2001).…”
Section: Identification Of Random Variablesmentioning
confidence: 99%
“…During past years, substantial efforts have been made in applying various probabilistic methods to the service life prediction and durability assessment of RC structures (Khatri and Sirivivatnanon, 2004;Gulikers, 2006;Stewart and Rosowsky, 2004;Sudret et al, 2005;CEB, 1997;Duprat and Sellier, 2006;Kong et al, 2002;Rovnanik, 2006). Concrete degradation models considering chloride penetration inducing corrosion have already been studied with reliability concepts by introducing uncertainties like concrete properties, environmental parameters, and geometry.…”
Section: Introductionmentioning
confidence: 99%
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