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    Reliability Analysis of RC Beams Exposed to Fire

    Source: Journal of Structural Engineering:;2013:;Volume ( 139 ):;issue: 002
    Author:
    Christopher D.
    ,
    Eamon
    ,
    Elin
    ,
    Jensen
    DOI: 10.1061/(ASCE)ST.1943-541X.0000614
    Publisher: American Society of Civil Engineers
    Abstract: A procedure for conducting reliability analysis of RC 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 semiempirical 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 was 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 4 h of fire exposure using Monte Carlo simulation. It was found that reliability decreased nonlinearly as a function of time, whereas the most significant parameters were concrete cover; span/depth ratio when axial restraints are present, mean fire temperature, and support conditions.
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      Reliability Analysis of RC Beams Exposed to Fire

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/68536
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    • Journal of Structural Engineering

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    contributor authorChristopher D.
    contributor authorEamon
    contributor authorElin
    contributor authorJensen
    date accessioned2017-05-08T21:59:57Z
    date available2017-05-08T21:59:57Z
    date copyrightFebruary 2013
    date issued2013
    identifier other%28asce%29st%2E1943-541x%2E0000655.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/68536
    description abstractA procedure for conducting reliability analysis of RC 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 semiempirical 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 was 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 4 h of fire exposure using Monte Carlo simulation. It was found that reliability decreased nonlinearly as a function of time, whereas the most significant parameters were concrete cover; span/depth ratio when axial restraints are present, mean fire temperature, and support conditions.
    publisherAmerican Society of Civil Engineers
    titleReliability Analysis of RC Beams Exposed to Fire
    typeJournal Paper
    journal volume139
    journal issue2
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)ST.1943-541X.0000614
    treeJournal of Structural Engineering:;2013:;Volume ( 139 ):;issue: 002
    contenttypeFulltext
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