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Structural Engineering and Mechanics
  Volume 45, Number 3, February10 2013 , pages 323-336
DOI: https://doi.org/10.12989/sem.2013.45.3.323
 


Application of the ANFIS model in deflection prediction of concrete deep beam
Mohammad Mohammadhassani, Hossein Nezamabadi-Pour, MohdZamin Jumaat, Mohammed Jameel, S.J.S.Hakim and Majid Zargar

 
Abstract
    With the ongoing development in the computer science areas of artificial intelligence and computational intelligence, researchers are able to apply them successfully in the construction industry. Given the complexities indeep beam behaviour and the difficulties in accurate evaluation of its deflection, the current study has employed the Adaptive Network-based Fuzzy Inference System (ANFIS) as one of the modelling tools to predict deflection for high strength self compacting concrete (HSSCC) deep beams. In this study, about 3668measured data on eight HSSCC deep beams are considered. Effective input data and the corresponding deflection as output data were recorded at all loading stages up to failure load for all tested deep beams. The results of ANFIS modelling and the classical linear regression were compared and concluded that the ANFIS results are highly accurate, precise and satisfactory.
 
Key Words
    ANFIS; deflection; deep beams; fuzzy inference system; linear regression
 
Address
Mohammad Mohammadhassani, MohdZamin Jumaat, Mohammed Jameel, S.J.S.Hakim and Majid Zargar: Department of Civil Engineering, University of Malaya, 50063, Malaysia
Hossein Nezamabadi-Pour: Department of Electrical Engineering, Shahid Bahonar University of Kerman, Iran
 

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