International Journal of Concrete Structures and Materials

Korea Concrete Institute (한국콘크리트학회)
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Principal Component and Multiple Regression Analysis for Steel Fiber Reinforced Concrete (SFRC) Beams

  • Islam, Mohammad S. (School of Engineering, The University of British Columbia, Okanagan Campus) ;
  • Alam, Shahria (School of Engineering, The University of British Columbia, Okanagan Campus)
  • Received : 2013.02.10
  • Accepted : 2013.10.29
  • Published : 2013.12.30
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Abstract

This study evaluates the shear strength of steel fiber reinforced concrete (SFRC) beams from a database, which consists of extensive experimental results of 222 SFRC beams having no stirrups. In order to predict the analytical shear strength of the SFRC beams more precisely, the selected beams were sorted into six different groups based on their ultimate concrete strength (low strength with $f_c^{\prime}$ <50 MPa and high strength with $f_c^{\prime}$ <50 MPa), span-depth ratio (shallow beam with $a/d{\geq}2.5 $and deep beam with a/d<2.5) and steel fiber shape (plain, crimped and hooked). Principal component and multiple regression analyses were performed to determine the most feasible model in predicting the shear strength of SFRC beams. A variety of statistical analyses were conducted, and compared with those of the existing equations in estimating the shear strength of SFRC beams. The results showed that the recommended empirical equations were best suited to assess the shear strength of SFRC beams more accurately as compared to those obtained by the previously developed models.

Keywords

References

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