ANFIS를 이용한 세장한 전단보강 및 전단무보강 철근콘크리트 보의 전단강도 예측Prediction of Shear Strength of Slender Reinforced Concrete Beams with and without Shear Reinforcement Using ANFIS
- Other Titles
- Prediction of Shear Strength of Slender Reinforced Concrete Beams with and without Shear Reinforcement Using ANFIS
- Authors
- 심우창; 최경규
- Issue Date
- Dec-2013
- Publisher
- 대한건축학회
- Keywords
- Concrete; Slender beams; Shear strength; Fuzzy theory; Adaptive Network Based Fuzzy Inference System (ANFIS); Uncertainty; 콘크리트; 세장한 보; 전단강도; 퍼지이론; 적응형 네트워크 기반 퍼지추론 시스템; 불확실성
- Citation
- 대한건축학회논문집 구조계, v.29, no.12, pp.63 - 71
- Journal Title
- 대한건축학회논문집 구조계
- Volume
- 29
- Number
- 12
- Start Page
- 63
- End Page
- 71
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/11883
- ISSN
- 1226-9107
- Abstract
- An analytical method based on fuzzy theory was developed for accurate evaluation of the shear strength of slender reinforced concrete beams with and without shear reinforcement. 636 experimental datasets of shear tests of simply supported reinforced concrete beams, which cover a wide range of design parameters, were used for training and validation of the proposed fuzzy-based model. The strength prediction by the proposed model was compared to those by current design codes including the American code (ACI 318-11) and the Euro code (EC2). The results showed that proposed model based on the fuzzy set theory can properly address the complicated interaction between various modeling parameters, and the fuzzy-based model enhances the prediction of the shear strength.
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