Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/41299
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dc.contributor.authorBenítez, Pablopt_PT
dc.contributor.authorRocha, Eugéniopt_PT
dc.contributor.authorRodrigues, Fernandapt_PT
dc.date.accessioned2024-04-02T15:04:29Z-
dc.date.available2024-04-02T15:04:29Z-
dc.date.issued2019-
dc.identifier.issn0094-243Xpt_PT
dc.identifier.urihttp://hdl.handle.net/10773/41299-
dc.description.abstractReinforced concrete is one of the most predominant materials in infrastructures throughout the world, hence management of the structures maintenance is an important subject of study in order to slow down the degradation process and to extend a structure lifespan. This work focus on a numerical model to find the best inspection planning for concrete structures under carbonation- induced corrosion, decomposed in three steps: (a) estimate the probability density function for critical failure time, (b) determine the optimal times for inspections sequences maximising its detectability; (c) multi-objective optimisation via frontier analysis to have a final relative ranking of inspection sequences. In short, this work answer the questions: when the inspections should be done and what are the best inspections for a given efficiency metric, under a set of parameters characterising the degradation process and inspection capabilities. Our formulation extend the models in the literature (e.g. detectability function) and its seems that the multidirectional efficiency analysis algorithm used here is better suited for real situations.pt_PT
dc.language.isoengpt_PT
dc.publisherAIPpt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCorrosionpt_PT
dc.subjectCementpt_PT
dc.subjectNumerical methodspt_PT
dc.subjectProbability theorypt_PT
dc.titleFrontier Analysis on Optimal Inspection Times for Reinforced Concrete Structurespt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.titleAIP Conference Proceedingspt_PT
degois.publication.volume2116pt_PT
dc.identifier.doi10.1063/1.5114521pt_PT
dc.identifier.essn1551-7616pt_PT
dc.identifier.articlenumber450054pt_PT
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FAAG - Artigos
RISCO - Artigos

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