Smart Structures and Systems

  • 제16권3호
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  • Pages.497-519
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  • 2015
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Fuzzy modelling approach for shear strength prediction of RC deep beams

  • Mohammadhassani, Mohammad (Department of Structural Engineering, University of Malaya) ;
  • Saleh, Aidi MD. (Malaysian public work department) ;
  • Suhatril, M (Department of Civil Engineering, University of Malaya) ;
  • Safa, M. (Department of Civil Engineering, University of Malaya)
  • 투고 : 2014.07.15
  • 심사 : 2014.12.30
  • 발행 : 2015.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

This study discusses the use of Adaptive-Network-Based-Fuzzy-Inference-System (ANFIS) in predicting the shear strength of reinforced-concrete deep beams. 139 experimental data have been collected from renowned publications on simply supported high strength concrete deep beams. The results show that the ANFIS has strong potential as a feasible tool for predicting the shear strength of deep beams within the range of the considered input parameters. ANFIS's results are highly accurate, precise and therefore, more satisfactory. Based on the Sensitivity analysis, the shear span to depth ratio (a/d) and concrete cylinder strength ($f_c^{\prime}$) have major influence on the shear strength prediction of deep beams. The parametric study confirms the increase in shear strength of deep beams with an equal increase in the concrete strength and decrease in the shear span to-depth-ratio.

키워드

참고문헌

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