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Computers and Concrete Volume 30, Number 6, December 2022 , pages 377-391 DOI: https://doi.org/10.12989/cac.2022.30.6.377 |
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A prediction model for strength and strain of CFRP-confined concrete cylinders using gene expression programming |
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Sema Alacali
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| Abstract | ||
| The use of carbon fiber-reinforced polymers (CFRP) has widely increased due to its enhancement in the ultimate strength and ductility of the reinforced concrete (RC) structures. This study presents a prediction model for the axial compressive strength and strain of normal-strength concrete cylinders confined with CFRP. Besides, soft computing approaches have been extensively used to model in many areas of civil engineering applications. Therefore, the genetic expression programming (GEP) models to predict axial compressive strength and strain of CFRP-confined concrete specimens were used in this study. For this purpose, the parameters of 283 CFRP-confined concrete specimens collected from 38 experimental studies in the literature were taken into account as input variables to predict GEP based models. Then, the results of GEP models were statistically compared with those of models proposed by various researchers. The values of R2 for strength and strain of CFRPconfined concrete were obtained as 0.897 and 0.713, respectively. The results of the comparison reveal that the proposed GEPbased models for CFRP-confined concrete have the best efficiency among the existing models and provide the best performance. | ||
| Key Words | ||
| carbon fiber-reinforced polymers; confined concrete; gene expression programming; strain; strength | ||
| Address | ||
| Sema Alacali: Department of Civil Engineering, Yildiz Technical University, 34220, Istanbul, Türkiye | ||