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Prediction of the failure time of glass fiber reinforced plastic reinforced concrete beams under fire conditions

  • Abdolkarim Abbasi
  • , Paul J. Hogg

    Research output: Contribution to journal › Article › peer-review

    Abstract

    A model is proposed to predict the time to failure of reinforced concrete beams in a fire. The model is developed specifically to predict the lifetime of beams reinforced with glass fiber reinforced plastic rebar, but is applicable to beams with any form of reinforcement. The model is based on the calculations for flexural capacity and shear capacity of beams embedded within ACI design codes where time and temperature dependent values for rebar modulus and strength and concrete strength replace the static design values. The base equations are modified to remove safety factors and where necessary the temperature induced reductions in strength for concrete and steel are derived using the equations presented by EUROCODE 2. In order to validate the model it was used to predict the failure times of steel rebar reinforced beams that had been documented in the literature. There was excellent agreement between the model and the reported lifetimes for these conventional beams. The model was applied to predict the lifetimes of two beams that had been manufactured and tested for destruction in a fire by the research group. The model predicted that the failure mode of the beams would be because of rebar rupture as opposed to the design condition of concrete crushing and this was confirmed by the experimental test results. The model provided reasonable agreement with experimental results with a lifetime of 108 min predicted based on flexural failure and 94 and 128 min observed in the experiments. © ASCE.
    Original languageEnglish
    Pages (from-to)450-457
    Number of pages7
    JournalJournal of Composites for Construction
    Volume9
    Issue number5
    DOIs
    Publication statusPublished - Sept 2005

    Keywords

    • Concrete beams
    • Failures
    • Fires
    • Models
    • Predictions

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