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Neural Computing and Applications

, Volume 31, Issue 7, pp 2085–2094 | Cite as

Development of prediction models for shear strength of SFRCB using a machine learning approach

  • Masoud Sarveghadi
  • Amir H. GandomiEmail author
  • Hamed Bolandi
  • Amir H. Alavi
Theory and Applications of Soft Computing Methods

Abstract

In this study, new design equations were derived for the assessment of shear resistance of steel fiber-reinforced concrete beams (SFRCB) utilizing multi-expression programming (MEP). The superiority of MEP over conventional statistical techniques is due to its ability in modeling of mechanical behavior without a need to pre-define the model structure. The MEP models were developed using a comprehensive database obtained through an extensive literature review. New criteria were checked to verify the validity of the models. A sensitivity analysis was carried out and discussed. The MEP models provide good estimations of the shear strength of SFRCB. The developed models significantly outperform several equations found in the literature.

Keywords

SFRCB Multi-expression programming Shear strength Prediction 

Notes

Acknowledgments

The authors are thankful to Professor Marc O. Eberhard (University of Washington) for providing a part of the experimental database. The authors appreciate the support and stimulating discussions of Professor Mohammad Ghasem Sahab [Amirkabir University of Technology (Tehran Polytechnic)].

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Copyright information

© The Natural Computing Applications Forum 2015

Authors and Affiliations

  • Masoud Sarveghadi
    • 1
  • Amir H. Gandomi
    • 2
    Email author
  • Hamed Bolandi
    • 3
  • Amir H. Alavi
    • 4
  1. 1.Department of Civil Engineering, Kashmar BranchIslamic Azad UniversityKashmarIran
  2. 2.BEACON Center for the Study of Evolution in ActionMichigan State UniversityEast LansingUSA
  3. 3.Department of Civil Engineering, Bandar Abbas BranchIslamic Azad UniversityBandar AbbasIran
  4. 4.Department of Civil and Environmental EngineeringMichigan State UniversityEast LansingUSA

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