Computers and Concrete

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A neuro-fuzzy approach to predict the shear contribution of end-anchored FRP U-jackets

  • Kar, Swapnasarit (Department of Civil Engineering, National Institute of Technology) ;
  • Biswal, K.C. (Department of Civil Engineering, National Institute of Technology)
  • Received : 2020.07.12
  • Accepted : 2020.10.23
  • Published : 2020.11.25
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Abstract

The current study targets to estimate the contribution of the end-anchored FRP composites in resisting shear force using a soft computing tool i.e., adaptive neuro-fuzzy inference system (ANFIS). A total of 107 sets of data accumulated from literature was utilized for the development and evaluation of the current ANFIS model. A comparative analysis between the ANFIS predictions and the acquired experimental results has shown that the ANFIS predictions are in very good agreement with that of experimental ones. Additionally, the accuracy of the current ANFIS model has been weighed up against the estimates of nine widely adopted design guidelines. Based on various statistical parameters, it has been deduced that the effectiveness of the current ANFIS model is better than the considered design guidelines. Besides this, a parametric study was carried out to explore the combined effect of different parameters as well as the impact of individual parameters.

Keywords

Acknowledgement

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

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