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Probabilistic strength retention factors for steel and concrete and effect on structural reliability of columns in fire

Authors :
Elhami Khorasani, Negar
Gernay, Thomas
Alexander, Stephani
Ni, Shuna
Van Coile, Ruben
Hopkin, Danny
Source :
Proceedings of the ASTM E05 Workshop on Advancements in Evaluating the Fire Resistance of Structures
Publication Year :
2018

Abstract

Evaluating reliability of structures requires consideration of the uncertainties in demand and capacity. While material strengths exhibit a significant scatter at high temperature, no probabilistic model is available to quantify these uncertainties. To fill this gap, this work has compiled a database of test data on strength retention factors for steel and concrete, formulated a set of temperature-dependent probabilistic models based on these data, and applied the models in FE analyses of columns in fire. The proposed material models yield an average response similar to well-established deterministic models (Eurocode), but allow an explicit evaluation of the variability in structural fire response due to experimentally observed variability in material strength.

Details

Database :
OpenAIRE
Journal :
Proceedings of the ASTM E05 Workshop on Advancements in Evaluating the Fire Resistance of Structures
Accession number :
edsair.od.......330..8cd753dccf18682b207ae336c7bd56a8