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dc.contributor.authorGhosh, Pratanu
dc.contributor.authorKonečný, Petr
dc.contributor.authorLehner, Petr
dc.contributor.authorTikalsky, Paul J.
dc.date.accessioned2017-05-24T08:50:36Z
dc.date.available2017-05-24T08:50:36Z
dc.date.issued2017
dc.identifier.citationComputers and Concrete. 2017, vol. 19, issue 3, p. 305-313.cs
dc.identifier.issn1598-8198
dc.identifier.issn1598-818X
dc.identifier.urihttp://hdl.handle.net/10084/117078
dc.description.abstractA robust finite element based reinforced concrete bridge deck corrosion initiation model is applied for time dependent probabilistic sensitivity analysis. The model is focused on uncertainties in the governing parameters that include variation of high performance concrete (HPC) diffusion coefficients, concrete cover depth, surface chloride concentration, holidays in reinforcements, coatings and critical chloride threshold level in several steel reinforcements. The corrosion initiation risk is expressed in the form of probability over intended life span of the bridge deck. Conducted study shows the time dependent sensitivity analysis to evaluate the significance of governing parameters on chloride ingress rate, various steel reinforcement protection and the corrosion initiation likelihood. Results from this probabilistic analysis provide better insight into the effect of input parameters variation on the estimate of the corrosion initiation risk for the design of concrete structures in harsh chloride environments.cs
dc.language.isoencs
dc.publisherTechno-Presscs
dc.relation.ispartofseriesComputers and Concretecs
dc.relation.urihttp://dx.doi.org/10.12989/cac.2017.19.3.305cs
dc.rightsCopyright © 2017 Techno-Press, Ltd.cs
dc.subjectcorrosion initiationcs
dc.subjectprobabilistic modelcs
dc.subjectsensitivity analysiscs
dc.subjectSBRAcs
dc.subjectMonte-Carlo simulationcs
dc.subjectdurabilitycs
dc.subjectperformance assessmentcs
dc.titleProbabilistic time-dependent sensitivity analysis of HPC bridge deck exposed to chloridescs
dc.typearticlecs
dc.identifier.doi10.12989/cac.2017.19.3.305
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume19cs
dc.description.issue3cs
dc.description.lastpage313cs
dc.description.firstpage305cs
dc.identifier.wos000399861700009


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