Document Type
Article
Abstract
A procedure for conducting reliability analysis of reinforced concrete beams subjected to a fire load is presented. This involves identifying relevant load combinations, specifying critical load and resistance random variables, and establishing a high-temperature performance model for beam capacity. Based on the procedure, an initial reliability analysis is conducted using currently available data. Significant load random variables are taken to be dead load, sustained live load, and fire temperature. Resistance is in terms of moment capacity, with random variables taken as steel yield strength, concrete compressive strength, placement of reinforcement, beam width, and thermal diffusivity. A semi-empirical model is used to estimate beam moment capacity as a function of fire exposure time, which is calibrated to experimental data available in the literature. The effect of various beam parameters were considered, including cover, beam width, aggregate type, compressive strength, dead to live load ratio, reinforcement ratio, support conditions, mean fire temperature, and other parameters. Using the suggested procedure, reliability was estimated from zero to four hours of fire exposure using Monte Carlo simulation. It was found that reliability decreased nonlinearly as a function of time, while the most significant parameters were concrete cover; span/depth ratio when axial restraints are present, mean fire temperature; and support conditions.
Disciplines
Applied Mechanics | Computer-Aided Engineering and Design | Structural Engineering
Recommended Citation
Eamon, C. D., and Jensen, E. (2013). "Reliability analysis of RC beams exposed to fire." Journal of Structural Engineering , 139(2), 212-220, doi: 10.1061/(ASCE)ST.1943-541X.0000614
Included in
Applied Mechanics Commons, Computer-Aided Engineering and Design Commons, Structural Engineering Commons
Comments
NOTICE IN COMPLIANCE WITH PUBLISHER POLICY: This is the final draft of an article published in Journal of Structural Engineering, 139(2), (2013) © ASCE, available online at: http://dx.doi.org/10.1061/(ASCE)ST.1943-541X.0000614