• Title of article

    Stepwise Regression for Shear Capacity Assessment of Steel Fiber Reinforced Concrete Beams

  • Author/Authors

    Sharifi, Y Department of Civil Engineering - Vali-e-Asr University of Rafsanjan, Iran , Moghbeli, A Department of Civil Engineering - Vali-e-Asr University of Rafsanjan, Iran

  • Pages
    12
  • From page
    152
  • To page
    163
  • Abstract
    Inclusion of steel fibers to concrete progresses the flexural and tensile capacities of concrete. Consequently the shear capacity of concrete flexural members improve. Predicting the shear capacity of concrete beams containing steel fiber is an important issue not only in structural design but also to retrofitting of existing structures. Since there are several variables to assess the shear capacity of steel fiber reinforced concrete (SFRC) beams, presenting a suitable equation is a complicated task. The aim of the present paper is to evaluate an empirical formulae based stepwise regression (SR) method for shear capacity of SFRC beams. A series of reliable experimental data has been provided from literatures for model development. The obtained results based SR model were compared with experimental data in training and testing state. A practical formulae based SR method has been developed for shear capacity assessment of SFRC beams. Besides, several equations based models also presented to compare with the equation based SR model. The comparison showed the SR formulae gives the most exact accuracy than others in terms of shear capacity assessment of SFRC beams.
  • Keywords
    Fiber Reinforced Concrete , Shear Strength , Stepwise Regression (SR)
  • Journal title
    Astroparticle Physics
  • Serial Year
    2019
  • Record number

    2467611