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Probabilistic Study of the Resistance of a Simply-Supported Reinforced Concrete Slab According to Eurocode Parametric Fire
Fire Testing Centre, France ; Imperial College London, UK.
Fire Testing Centre, France.
RISE - Research Institutes of Sweden, Safety and Transport, Safety.ORCID iD: 0000-0002-4551-1045
Imperial College London, UK.
2019 (English)In: Fire technology, ISSN 0015-2684, E-ISSN 1572-8099, Vol. 55, no 4, p. 1377-1404Article in journal (Refereed) Published
Abstract [en]

We present the application of a simple probabilistic methodology to determine the reliability of a structural element exposed to fire when designed following Eurocode 1-1-2 (EC1). Eurocodes are being used extensively within the European Union in the design of many buildings and structures. Here, the methodology is applied to a simply-supported, reinforced concrete slab 180 mm thick, with a standard load bearing fire resistance of 90 min. The slab is subjected to a fire in an office compartment of 420 m2 floor area and 4 m height. Temperature time curves are produced using the EC1 parametric fire curve, which assumes uniform temperature and a uniform burning condition for the fire. Heat transfer calculations identify the plausible worst case scenarios in terms of maximum rebar temperature. We found that a ventilation-controlled fire with opening factor 0.02 m1/2 results in a maximum rebar temperature of 448°C after 102 min of fire exposure. Sensitivity analyses to the main parameters in the EC1 fire curves and in the EC1 heat transfer calculations are performed using a one-at-a-time (OAT) method. The failure probability is then calculated for a series of input parameters using the Monte Carlo method. The results show that this slab has a 0.3% probability of failure when the compartment is designed with all layers of safety in place (detection and sprinkler systems, safe access route, and fire fighting devices are available). Unavailability of sprinkler systems results in a 1% probability of failure. When both sprinkler system and detection are not available in the building, the probability of failure is 8%. This novel study conducts for the first time a probabilistic calculation using the EC1 parametric curve, helping engineers to identify the most critical design fires and the probabilistic resistance assumed in EC1. © 2018 The Author(s)

Place, publisher, year, edition, pages
2019. Vol. 55, no 4, p. 1377-1404
Keywords [en]
Concrete, Monte Carlo, OAT method, Parametric temperature–time curve, Probabilistic analysis, Sensitivity analysis, Structural fire resistance, Structural reliability, Concrete slabs, Concretes, Failure analysis, Fire extinguishers, Fire fighting equipment, Heat transfer, Monte Carlo methods, Probability, Reinforced concrete, Reliability analysis, Sprinkler systems (fire fighting), Sprinkler systems (irrigation), Structural design, Structural fires, Time curves, Fire resistance
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Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34460DOI: 10.1007/s10694-018-0704-4Scopus ID: 2-s2.0-85044391165OAI: oai:DiVA.org:ri-34460DiVA, id: diva2:1237311
Available from: 2018-08-08 Created: 2018-08-08 Last updated: 2019-07-01Bibliographically approved

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