Journal of the Architectural Institute of Korea Structure & Construction (대한건축학회논문집:구조계)

Architectural Institute of Korea (대한건축학회)
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Estimation of Bond Strength of Reinforcing Bars in Reinforced Concrete Members Using ANFIS

ANFIS를 이용한 철근콘크리트 부재 보강철근의 부착강도 평가

  • Received : 2016.07.20
  • Accepted : 2016.09.20
  • Published : 2016.09.30
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Abstract

In reinforced concrete members, bond strength of reinforcing bars shall be ensured to resist external forces. The lack of bond strength may lead to failures of the structural members, and thus, an accurate calculation of the bond strength is essential. However, due to its complex mechanism and many influential factors, most bond strength models were empirically formed based on experimental results, and they often do not provide accurate estimation. In this study, therefore, Adaptive Neuro-Fuzzy Inference System (ANFIS) was applied to estimate the bond strength accurately for reinforced concrete members. A total of 439 test data was collected for training and validation of the ANFIS model, and the trained ANFIS model estimated the bond strength very accurately and reflected the effects of key variables without bias.

Keywords

Acknowledgement

Grant : BK21플러스

Supported by : 서울시립대학교

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