Steel and Composite Structures

  • 제17권5호
  • /
  • Pages.623-639
  • /
  • 2014
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Prediction of shear capacity of channel shear connectors using the ANFIS model

  • 투고 : 2013.08.08
  • 심사 : 2014.04.10
  • 발행 : 2014.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

Due to recent advancements in the area of Artificial Intelligence (AI) and computational intelligence, the application of these technologies in the construction industry and structural analysis has been made feasible. With the use of the Adaptive-Network-based Fuzzy Inference System (ANFIS) as a modelling tool, this study aims at predicting the shear strength of channel shear connectors in steel concrete composite beam. A total of 1200 experimental data was collected, with the input data being achieved based on the results of the push-out test and the output data being the corresponding shear strength which were recorded at all loading stages. The results derived from the use of ANFIS and the classical linear regressions (LR) were then compared. The outcome shows that the use of ANFIS produces highly accurate, precise and satisfactory results as opposed to the LR.

키워드

과제정보

연구 과제 주관 기관 : University of Malaya UMRG

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