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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2017 Vol.7(1): 48-53 ISSN: 2010-3697
DOI: 10.7763/IJMO.2017.V7.557

M5' Algorithm for Shear Strength Prediction of HSC Slender Beams without Web Reinforcement

Ali Kaveh, Seyyed Mahmoud Hamze-Ziabari, and Taha Bakhshpoori
Abstract—Accurate prediction of the shear behavior of Reinforced Concrete (RC) beams unlike to its flexural behavior which can generally be well predicted is a challenging problem due to the complexity of the shear transfer mechanism. This issue can be more critical for High-Strength Concrete (HSC) beams compared with the beams with normal strength concrete. The present study adopts an efficient rule based data mining approach: M5' algorithm to potential development of a new formulation for predicting the shear strength of HSC slender RC beams without stirrup. A comprehensive database containing several effective parameters that consider geometrical and mechanical properties of concrete, aggregate and reinforcement are involved in prediction of the shear strength. Comparison between developed model and the most common design codes demonstrates the superiority of the developed model in term of accuracy. Furthermore, the safety analysis based on Demerit Points Classification scale also confirms the reliability of the proposed formulation.

Index Terms—High strength concrete, M5' algorithm, prediction shear strength, slender beams.

Ali Kaveh is with the Iran University of Science and Technology as professor of Structural Engineering and also as the chair of the Centre of Excellence for Fundamental Studies in Structural Engineering, Tehran, Iran (e-mail: alikaveh@ iust.ac.ir).
Seyyed Mahmood Hamze-Ziabari is with Coastal Engineering with Iran University of science and technology, Tehran, Iran (e-mail: ziabari@civileng.iust.ac.ir).
Taha Bakhshpoori is with the Department of Engineering, East of Guilan University of Guilan, Roudsar, Guilan, Iran (e-mail: tbakhshpoori@Guilan.ac.ir).


Cite: Ali Kaveh, Seyyed Mahmoud Hamze-Ziabari, and Taha Bakhshpoori, "M5' Algorithm for Shear Strength Prediction of HSC Slender Beams without Web Reinforcement," International Journal of Modeling and Optimization vol. 7, no. 1, pp. 48-53, 2017.

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