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2021
DOI: 10.1061/(asce)st.1943-541x.0003039
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Probabilistic-Based Approach for Evaluating the Thermal Response of Concrete Slabs under Fire Loading

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Cited by 10 publications
(6 citation statements)
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“…Limited research works derived temperature-dependent probabilistic models for the construction material properties, i.e., models for normal-strength concrete, mild steel, and insulating materials, can be found in [29][30][31][32]. The approach in this paper aims to develop temperature-dependent probabilistic models for the compressive strength of masonry.…”
Section: The Probabilistic Methodsmentioning
confidence: 99%
“…Limited research works derived temperature-dependent probabilistic models for the construction material properties, i.e., models for normal-strength concrete, mild steel, and insulating materials, can be found in [29][30][31][32]. The approach in this paper aims to develop temperature-dependent probabilistic models for the compressive strength of masonry.…”
Section: The Probabilistic Methodsmentioning
confidence: 99%
“…A mechanical analysis of the concrete slab has not been performed. Karaki et al (2021) perform a full probabilistic analysis of the temperatures of concrete slabs subjected to different fire scenarios. The evolution of the rebar and surface temperatures is used as failure criteria.…”
Section: State Of Knowledgementioning
confidence: 99%
“…However, employing 100% GGBS led to minor surface cracks on the cubes, rendering it unsuitable for slab applications [25]. Considering the variability of the input variables, a low-reliability index is determined for buildings with no basic firefighting measures, and adding intervention measures, sprinkler systems, and detection systems will increase the reliability index by 53%, 85%, and 89%, respectively [26]. The hybrid CG laminate maintain its stiffness up to 250°C and it shows better fire resistance at service load as its elasticity modulus showed less degradation at elevated temperature as compared to the commonly used C and G sheets in strengthening reinforced concrete structural members [27].…”
Section: Introductionmentioning
confidence: 99%