Predicting Load-Carrying Capacity of FRP-Confined CFST Columns through Analytical Techniques


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Authors

  • Mehar Ali University of Engineering and Technology Taxila
  • Muhammad Umair Raza University of Engineering and Technology Taxila
  • Mohammad Hasnat Akbar Khan University of Engineering and Technology Taxila
  • Muhammad Hassan University of Engineering and Technology Taxila
  • Sultan Arshid University of Engineering and Technology Taxila
  • Emaan Yousaf University of Engineering and Technology Taxila
  • Hassan Akhter University of Engineering and Technology Taxila
  • Ali Raza University of Engineering and Technology Taxila

Keywords:

CRFP, CFST, Analytical Model, Load-Carrying Capacity

Abstract

While earlier research has used sparse and imprecise data to study the load-carrying capacity
(LC) prediction of fiber-reinforced polymer (FRP)-confined concrete-filled steel tube (CFST) compression
members (SFC), no study has examined the predictive accuracy of different modeling approaches using an
extensive and refined database. The purpose of this work is to present an analytical model for LC prediction
of SFC compression members. The confinement mechanics of steel tubes and FRP wraps are included in
the model, which was created using a database of 712 samples. The analytical model yields precise
predictions by considering the lateral confinement mechanism of SFC columns. For the LC of SFC
columns, statistical metrics of MAE = 427.23, MAPE = 283.65, R2 = 0.815, RMSE = 275.43, and a20
index = 0.73 are obtained by evaluation using the experimental database.

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Author Biographies

Mehar Ali, University of Engineering and Technology Taxila

Department of Civil Engineering, 47050, Pakistan

Muhammad Umair Raza, University of Engineering and Technology Taxila

Department of Civil Engineering, 47050, Pakistan

Mohammad Hasnat Akbar Khan, University of Engineering and Technology Taxila

Department of Civil Engineering, 47050, Pakistan

Muhammad Hassan, University of Engineering and Technology Taxila

Department of Civil Engineering, 47050, Pakistan

Sultan Arshid, University of Engineering and Technology Taxila

Department of Civil Engineering, 47050, Pakistan

Emaan Yousaf, University of Engineering and Technology Taxila

Department of Civil Engineering, 47050, Pakistan

Hassan Akhter, University of Engineering and Technology Taxila

Department of Civil Engineering, 47050, Pakistan

Ali Raza, University of Engineering and Technology Taxila

Department of Civil Engineering, 47050, Pakistan

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Published

2024-07-25

How to Cite

Ali, M., Raza, M. U., Khan, M. H. A., Hassan, M., Arshid, S., Yousaf, E., Akhter, H., & Raza, A. (2024). Predicting Load-Carrying Capacity of FRP-Confined CFST Columns through Analytical Techniques. International Journal of Advanced Natural Sciences and Engineering Researches, 8(6), 207–214. Retrieved from https://as-proceeding.com/index.php/ijanser/article/view/1945

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