2016
DOI: 10.12989/sem.2016.59.5.853
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Reliability studies on RC beams exposed to fire based on IS456:2000 design methods

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Cited by 7 publications
(7 citation statements)
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“…4.1 Failure mode Aneesha Balaji et al (2016) point out the importance of reinforcement yield strength for the shear limit state, and highlight the importance of considering the possibility of shear failure.…”
Section: Discussionmentioning
confidence: 99%
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“…4.1 Failure mode Aneesha Balaji et al (2016) point out the importance of reinforcement yield strength for the shear limit state, and highlight the importance of considering the possibility of shear failure.…”
Section: Discussionmentioning
confidence: 99%
“…With respect to the probabilistic description of the stochastic variables, a great variability in the types of (1) distribution, (2) mean values and (3) correlation coefficients is noticeable. An example is the values related to the correlation coefficient of concrete strength used by Aneesha Balaji et al (2016) and Van Coile et al (2011), with 41% of difference. This highlights that the probabilistic models for RC concrete beams exposed to fire are not fully consolidated in the literature and require further investigation.…”
Section: Stochastic Variables and Uncertainties In The Modelsmentioning
confidence: 99%
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“…The probabilistic frameworks are useful as the process involved from development of fire to required mitigation techniques involve a complex approach that includes structural fire resistance, fire mitigation system and protective measures for human life and property. Such complexities allow probabilistic frameworks to identify the importance of uncertainties and variabilities to evaluate the performance of structural systems exposed to catastrophic fire, which is almost inaccessible under the lesser rational deterministic methods (Balaji et al, 2016). Moreover, the fire models in the design guidelines are unable to provide the required confidence level for achieving desired structural performance exposed to fire (ElMohandes and Vecchio, 2016), which necessitated adopting the probabilistic approaches to investigate the fire performance for structural fire safety.…”
Section: Introductionmentioning
confidence: 99%