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Computers and Concrete Volume 22, Number 2, August 2018 , pages 197-207 DOI: https://doi.org/10.12989/cac.2018.22.2.197 |
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GMDH-based prediction of shear strength of FRP-RC beams with and without stirrups |
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Ali Kaveh, Taha Bakhshpoori and Seyed Mahmood Hamze-Ziabari
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| Abstract | ||
| In the present study, group method of data handling networks (GMDH) are adopted and evaluated for shear strength prediction of both FRP-reinforced concrete members with and without stirrups. Input parameters considered for the GMDH are altogether 12 influential geometrical and mechanical parameters. Two available and very recently collected comprehensive datasets containing 112 and 175 data samples are used to develop new models for two cases with and without shear reinforcement, respectively. The proposed GMDH models are compared with several codes of practice. An artificial neural network (ANN) model and an ANFIS based model are also developed using the same databases to further assessment of GMDH. The accuracy of the developed models is evaluated by statistical error parameters. The results show that the GMDH outperforms other models and successfully can be used as a practical and effective tool for shear strength prediction of members without stirrups (R2=0.94) and with stirrups (R2=0.95). Furthermore, the relative importance and influence of input parameters in the prediction of shear capacity of reinforced concrete members are evaluated through parametric and sensitivity analyses. | ||
| Key Words | ||
| shear strength prediction; FRP-RC beams; stirrup; GMDH; ANN; ANFIS | ||
| Address | ||
| Ali Kaveh: Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Tehran-16, Iran Taha Bakhshpoori: Faculty of Technology and Engineering, Department of Civil Engineering, East of Guilan, University of Guilan, Rudsar-Vajargah, Iran Seyed Mahmood Hamze-Ziabari: Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Tehran-16, Iran | ||