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dc.contributor.authorLavergne, Francis
dc.contributor.authorAlam, Midula
dc.contributor.authorICASP14
dc.contributor.authorOrcesi, André
dc.contributor.authorSchmidt, Franziska
dc.contributor.authorIentile, Silvia
dc.date.accessioned2023-08-03T13:35:19Z
dc.date.available2023-08-03T13:35:19Z
dc.date.issued2023
dc.identifier.citationMidula Alam, Silvia Ientile, Francis Lavergne, Franziska Schmidt, Andr� Orcesi, Sensitivity analysis of adjusted partial factors for the assessment of an existing reinforced concrete bridge, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.descriptionPUBLISHED
dc.description.abstractDesign standards for Reinforced Concrete (RC) bridges are generally based on a semi-probabilistic format using partial factors to take into account material, geometrical and load effect uncertainties. In the case of an existing bridge, the available information can be used to adjust partial factors given a chosen target reliability level. However, gathering sufficient information on material properties may not be a straightforward task, and the associated assumptions may have an impact on the assessment result. This paper focuses on the assessment of an existing RC bridge at the ultimate limit state using a semi-probabilistic format. First, the data are analysed by evaluating material properties. Then, uncertainty levels are evaluated, and partial factors are adjusted accordingly. Univariate and multivariate sensitivity analyses are finally conducted to show the main effect of the partial factors� adjustment on the assessment.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleSensitivity analysis of adjusted partial factors for the assessment of an existing reinforced concrete bridge
dc.title.alternative14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.typeConference Paper
dc.type.supercollectionscholarly_publications
dc.type.supercollectionrefereed_publications
dc.rights.ecaccessrightsopenAccess
dc.identifier.urihttp://hdl.handle.net/2262/103361


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    14th International Conference on Application of Statistics and Probability in Civil Engineering

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