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Smart Structures and Systems Volume 16, Number 3, September 2015 , pages 497-519 DOI: https://doi.org/10.12989/sss.2015.16.3.497 |
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Fuzzy modelling approach for shear strength prediction of RC deep beams |
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Mohammad Mohammadhassani, Aidi MD. Saleh, M Suhatril and M. Safa
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| Abstract | ||
| 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) 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. | ||
| Key Words | ||
| deep beams; ultimate shear strength; ANFIS; LR | ||
| Address | ||
| Mohammad Mohammadhassani, Department of Structural Engineering, University of Malaya, Malaysia Aidi MD. Saleh, Malaysian public work department, Ledang, Tangkak, 84900 Johor, Malaysia M Suhatril and M. Safa, Department of Civil Engineering, University of Malaya, Malaysia | ||