Journal
NEURAL COMPUTING & APPLICATIONS
Volume 31, Issue 7, Pages 2085-2094Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00521-015-1997-6
Keywords
SFRCB; Multi-expression programming; Shear strength; Prediction
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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.
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