Application of the ANFIS model in deflection prediction of concrete deep beam

Article


Mohammadhassani, Mohammad, Nezamabadi-Pour, Hossein, Jumaat, Mohd Zamin, Jameel, Mohammed, Hakim, S. J. S. and Zargar, Majid. 2013. "Application of the ANFIS model in deflection prediction of concrete deep beam." Structural Engineering and Mechanics. 45 (3), pp. 323-336. https://doi.org/10.12989/sem.2013.45.3.323
Article Title

Application of the ANFIS model in deflection prediction of concrete deep beam

ERA Journal ID3821
Article CategoryArticle
AuthorsMohammadhassani, Mohammad, Nezamabadi-Pour, Hossein, Jumaat, Mohd Zamin, Jameel, Mohammed, Hakim, S. J. S. and Zargar, Majid
Journal TitleStructural Engineering and Mechanics
Journal Citation45 (3), pp. 323-336
Number of Pages14
Year2013
Place of PublicationKorea
ISSN1225-4568
1598-6217
Digital Object Identifier (DOI)https://doi.org/10.12989/sem.2013.45.3.323
Web Address (URL)http://www.koreascience.or.kr/article/JAKO201315541091396.page
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.

KeywordsANFIS; Deep beams; Deflection; Fuzzy inference system; Linear regression
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Byline AffiliationsUniversity of Malaya, Malaysia
Shahid Bahonar University of Kerman, Iran
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