Shear failure of the RC beam-column joints is a brittle failure which has no prior warning and can induce tremendous damages because of collapse of column and joint before the connected beam. This paper is focused on one particular method of strengthening the RC joints, that is, the use of FRP composites as confining element. The results of previous studies have shown that strengthening the RC beam-column joints with FRP composites can improve their shear capacity. In this study, the data collected from the existing standards and studies regarding the FRP strengthened RC joints were used to develop an artificial neural network model for predicting the shear strength contribution of FRP jacket. The developed model was then used to evaluate the role of different parameters on this contribution, and finally derive a formula for contribution of FRP jacket to the shear strength of the RC beam-column joints.
Ilkhani, M., Naderpour, H., Kheyroddin, A. (2019). Soft Computing-based Approach on Capacity Prediction of FRP Strengthened RC Joints. Scientia Iranica, 26(5), 2678-2688. doi: 10.24200/sci.2018.20177
MLA
Mohammad Hossein Ilkhani; Hosein Naderpour; Ali Kheyroddin. "Soft Computing-based Approach on Capacity Prediction of FRP Strengthened RC Joints". Scientia Iranica, 26, 5, 2019, 2678-2688. doi: 10.24200/sci.2018.20177
HARVARD
Ilkhani, M., Naderpour, H., Kheyroddin, A. (2019). 'Soft Computing-based Approach on Capacity Prediction of FRP Strengthened RC Joints', Scientia Iranica, 26(5), pp. 2678-2688. doi: 10.24200/sci.2018.20177
VANCOUVER
Ilkhani, M., Naderpour, H., Kheyroddin, A. Soft Computing-based Approach on Capacity Prediction of FRP Strengthened RC Joints. Scientia Iranica, 2019; 26(5): 2678-2688. doi: 10.24200/sci.2018.20177
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