Machine learning models development for shear strength prediction of reinforced concrete beam: a comparative study

HIGHLIGHTS

  • who: Zaher Mundher Yaseen from the King Fahd University of have published the article: Machine learning models development for shear strength prediction of reinforced concrete beam: a comparative study, in the Journal: Scientific Reports Scientific Reports
  • what: The study showed that the presented model has reliable predictability with statistical correlation equal to 0.979. The model is tested based on 216 samples of FRP reinforced concrete with no transverse reinforcement and the results revealed that the developed models have high reliability in Vs prediction with u00adR2=0.955.
  • how: The statistical properties of . . .

     

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