Applications of the ANFIS and LR in the prediction of strain in tie section of concrete deep beams

Mohammad Mohammadhassani, Hossein Nezamabadi-pour, Mohammed Jameel and Karim Garmasiri

Abstract

Recent developments in Artificial Intelligence (AI) and computational intelligence have made it viable in the construction industry and structural analysis. This study usesthe Adaptive Network-based Fuzzy Inference System (ANFIS) as a modelling tool to predict the strain in tie section for High Strength Self Compacting Concrete (HSSCC) deep beams. 3773 experimental data were collected. The input data andits corresponding strains in tie section as output data were recorded at all loading stages. Results from ANFIS are compared with the classical linear regression (LR). The comparison shows that the ANFIS\'s results are highly accurate, precise and satisfactory.

Key Words

deep beams; strut and tie; strain of tie section; ANFIS; LR

Address

Mohammad Mohammadhassani: Department of Civil Engineering, University Malaya, Malasiya Hossein Nezamabadi-pour: Department of Electrical Engineering, Shahid Bahonar University of Kerman, Iran Mohammed Jameel: Department of Civil Engineering, University Malaya, Malasiya Karim Garmasiri: Department of Mechanical Engineering, Razi University, Tagh Bostan, Kermanshah, Iran

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