Computers and Concrete

  • 제32권1호
  • /
  • Pages.27-44
  • /
  • 2023
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Estimation of shear resistance offered by EB-FRP U-jackets: An approach based on fuzzy-inference system

  • S Kar (Department of Civil Engineering, O P Jindal University) ;
  • E.V. Prasad (Department of Civil Engineering, GITAM Deemed to be University) ;
  • Nikhil P. Zade (Civil Engineering Department, Chandigarh University) ;
  • Parveen Sihag (Department of Civil engineering, National Institute of Technology) ;
  • K.C. Biswal (Civil Engineering Department, Chandigarh University)
  • 투고 : 2022.10.11
  • 심사 : 2023.03.20
  • 발행 : 2023.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

The current study targets to apply the adaptive neuro-fuzzy inference system (ANFIS) for the estimation of the shear resistance offered by the externally bonded fiber-reinforced polymer (EB-FRP) U-jackets. A total of 202 groups of data cumulated from previous investigations, were employed for the development and evaluation of the ANFIS model. A relative appraisal between the ANFIS predictions and the results of experiments has shown that the assessments by current ANFIS model are in good concurrence with the latter. In addition, assessment of the accuracy of the ANFIS model was done by relating the ANFIS predictions with the forecasts of eight extensively used design guidelines. Based on the examination of various performance measures, it has been derived that the adequacy of the ANFIS model is better than the available guidelines. A parametric investigation has additionally been done to reconnoiter the influence of individual parameters as well as their combined effects on the shear contribution of EB-FRP. Based on the observations made from the parametric study, it has been witnessed that the ANFIS model has incorporated the effect of different parameters more competently than the considered design guidelines.

키워드

과제정보

The authors would like to thank the National Institute of Technology Rourkela for the financial support.

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