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A simplified regression-based approach for concrete mechanical properties at elevated temperature

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Abstract

Assessment of fire performance of concrete structures requires complete knowledge of material properties and constitutive relationships. The existing mathematical models present the behaviour of mechanical properties of concrete at elevated temperatures. Most proposed models are based on experimental test results with significant variation in incorporated test parameters namely the type of aggregates, water–cement ratio, fire scenario, rate of loading, etc., ultimately resulting in significant variation in their predicted results. This paper comprises a literature review study for compressive strength, tensile strength, maximum strain at peak stress, and initial elastic modulus of concrete under various temperature ranges to establish sensitivity among them. The studied data were distinguished based on the type of aggregates, i.e., siliceous, carbonate, and lightweight aggregates, and application of loading conditions, i.e., unloaded and preloaded. A simplified regression-based mathematical approach is used to propose a unique temperature-dependent relationship for the mechanical properties of concrete to converge the induced error resulting in a less-susceptible mathematical equation.

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Correspondence to Mahadev Rokade.

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Rokade, M., Gaikwad, M., Singh, S. et al. A simplified regression-based approach for concrete mechanical properties at elevated temperature. Asian J Civ Eng 23, 1065–1085 (2022). https://doi.org/10.1007/s42107-022-00469-1

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  • DOI: https://doi.org/10.1007/s42107-022-00469-1

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