The unique properties of Shape Memory Alloys (SMAs) have motivated researchers to use them as primary reinforcement in reinforced concrete (RC) structures. In this study, the applicability of using external unbonded SMA bars to retrofit RC beam-column joints (BCJs) is investigated. A three-dimensional finite element model, which simulates the suggested retrofitting technique, is first developed, and validated using ABAQUS software. The model is then further simplified and utilized to conduct a parametric study to investigate the behaviour of SMA retrofitted RC BCJs. Results of the parametric study are used to perform multiple linear regression analysis. Simple equations, which can be used to calculate the length and amount of SMA bars required to retrofit a RC BCJ, are then developed.
Citation: Yamen Ibrahim Elbahy, Maged A. Youssef, M. Meshaly. Numerical investigation of reinforced-concrete beam-column joints retrofitted using external superelastic shape memory alloy bars[J]. AIMS Materials Science, 2021, 8(5): 716-738. doi: 10.3934/matersci.2021043
The unique properties of Shape Memory Alloys (SMAs) have motivated researchers to use them as primary reinforcement in reinforced concrete (RC) structures. In this study, the applicability of using external unbonded SMA bars to retrofit RC beam-column joints (BCJs) is investigated. A three-dimensional finite element model, which simulates the suggested retrofitting technique, is first developed, and validated using ABAQUS software. The model is then further simplified and utilized to conduct a parametric study to investigate the behaviour of SMA retrofitted RC BCJs. Results of the parametric study are used to perform multiple linear regression analysis. Simple equations, which can be used to calculate the length and amount of SMA bars required to retrofit a RC BCJ, are then developed.
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Yamen Ibrahim Elbahy, Maged A. Youssef, M. Meshaly. Numerical investigation of reinforced-concrete beam-column joints retrofitted using external superelastic shape memory alloy bars[J]. AIMS Materials Science, 2021, 8(5): 716-738. doi: 10.3934/matersci.2021043
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