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dc.contributor.authorTorero, José L.
dc.contributor.authorGalasso, Carmine
dc.contributor.authorFranchini, Andrea
dc.contributor.authorICASP14
dc.date.accessioned2023-08-03T13:35:38Z
dc.date.available2023-08-03T13:35:38Z
dc.date.issued2023
dc.identifier.citationAndrea Franchini, Carmine Galasso, Jos� L. Torero, Addressing the pitfalls of risk-based methods for fire safety design of structures, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.descriptionPUBLISHED
dc.description.abstractRisk-based design and assessment methods are gaining popularity in the context of performance-based structural fire engineering. Nevertheless, they often ignore that there exists a strong dependency between the combustion process and the structural features, impacting the structural safety assessment outcomes. This paper compares a conventional risk-based design approach with a methodology named the Maximum Allowable Consequence (MAC) approach proposed by the authors to address such a limitation. An illustrative example concerning the fire safety design of a bridge is presented. It is shown that the considered risk-based approach yields coefficients of variation on the consequence metric one order of magnitude larger than the MAC approach. Finally, this approach enables the explicit selection of the design variables that make the bridge compliant with the desired performance objectives.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleAddressing the pitfalls of risk-based methods for fire safety design of structures
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/2262/103407


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

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