Simplified design procedures for the structural analysis of reinforced concrete columns in fire

Buttignol, Thomaz Eduardo Teixeira; Bittencourt, Túlio Nogueira

doi:10.1016/j.engstruct.2021.113076

Cited by 8 publications

(2 citation statements)

References 24 publications

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“…As Buttignol et al explain [22], a better approximation is obtained through numerical heat flux analyses. Finite element models allow for the introduction of different fire curves, fire durations, cross-sections, and thermal properties.…”

Section: Theoretical Modelmentioning

confidence: 99%

Analytical and Experimental Behaviour of GFRP-Reinforced Concrete Columns under Fire Loading

Almerich-Chulia,

Martin-Concepcion,

Moreno-Puchalt

et al. 2024

J. Compos. Sci.

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Fire engineering endeavours to mitigate injury or the loss of life in the event of a fire. This is achieved primarily through fire prevention, containment, and extinguishment measures. Should prevention fail, the structural integrity of buildings, coupled with effective evacuation strategies, becomes paramount. While glass fibre-reinforced polymer (GFRP) materials have demonstrated efficacy in reinforcing concrete elements, their performance under fire conditions, notably in comparison to steel, necessitates a deeper understanding for structural applications. This study experimentally and numerically investigates the fire performance of GFRP-reinforced concrete (RC) columns subjected to only fire load without additional external loads. The research aims to ascertain the fire resistance based on the thickness of the concrete coating and the ultimate tensile strength of GFRP rebars after 90 min of fire exposure. Four GFRP-RC columns were subjected to a standardized fire curve on all sides in the experimental program. In the analytical program, a theoretical model was developed using the heat transfer module of the COMSOL software. The results of both analyses were very close, indicating the reliability of the procedure used. Based on the findings, recommendations regarding the fire resistance of GFRP-RC columns were formulated for structural applications. Results from this research provide the civil engineering community with data that will help them continue using FRP materials as internal reinforcement for concrete.

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Section: Theoretical Modelmentioning

confidence: 99%

Analytical and Experimental Behaviour of GFRP-Reinforced Concrete Columns under Fire Loading

Almerich-Chulia,

Martin-Concepcion,

Moreno-Puchalt

et al. 2024

J. Compos. Sci.

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“…Research efforts on the evaluation of the response of RC structures under fire loading are gaining attention in recent years (Almeshal and Bakar (2022); Buttignol and Bittencourt (2021); Jiang et al (2021); Ni and Gernay (2021a); Pires et al (2020); Udi et al (2022)), including employing a probabilistic approach (De Souza et al, 2019; Eamon and Jensen, 2013a, 2013b, Gernay et al, 2019b, Ni and Gernay, 2021b, Roy and Matsagar, 2022, Shi et al, 2013, Thienpont et al, 2021, Van Coile et al, 2013a, 2016). Some studies consider the variation of thermal parameters (e.g.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic investigation of reinforced concrete structures under fire loading accounting for material and geometric uncertainties

Sosso

Berke

2023

Advances in Structural Engineering

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The sensitivity of the structural response to variations of material and cross sectional geometrical parameters is investigated for reinforced concrete structures under fire loading. A relatively low cost 2D corotational layered beam finite element is employed in a reduced latin hypercube sampling framework for this purpose. The structural response is assessed in terms of vertical deflection versus time, failure time and cross sectional stress/strain distribution using standard fire curves. The numerical models represent experimentally tested cases in the literature and operate with experimentally derived parameter sets, when possible. A minimum set of three RVs, the bottom concrete cover thickness, steel and concrete yield stregths, out of the initial full set of 12 are identified that drastically reduces the number of RVs and thus the stochastic computation’s cost, while keeping a reasonable envelop for the results. The relationship between structural behavior, material degradation and data extracted from the cross sectional behavior is also successfully established and used to explain why the random set can be reduced to three parameters.

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Unsupervised Machine Learning for Fire Resistance Analysis

Çiftçioğlu,

Naser

2023

Communications in Computer and Information Science

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Simplified design procedures for the structural analysis of reinforced concrete columns in fire

Cited by 8 publications

References 24 publications

Analytical and Experimental Behaviour of GFRP-Reinforced Concrete Columns under Fire Loading

Analytical and Experimental Behaviour of GFRP-Reinforced Concrete Columns under Fire Loading

Probabilistic investigation of reinforced concrete structures under fire loading accounting for material and geometric uncertainties

Unsupervised Machine Learning for Fire Resistance Analysis

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