PREDICTION OF BASALT FIBER REINFORCED CONCRETE PAVEMENT BENDING STRENGTH VALUES

  • Hidayet BAYRAKTAR Duzce University, Duzce Vocational School, Duzce, Turkey
  • Ayhan SAMANDAR Duzce University, Technology Faculty, Civil Engineering, Duzce, Turkey
  • Suat SARIDEMİR Duzce University, Technology Faculty, Mechanical and Manufacturing Engineering, Duzce
Keywords: Basalt, Basalt Fibers, Artificial Neural Network, Concrete, Basalt Fiber Reinforced Concrete

Abstract

This paper proposes the potential of artificial neural network (ANN) system for estimating the bending strength values of the basalt fiber reinforced concrete pavements. Three main influential parameters; namely basalt fiber ratio, density and slump value of the fresh concrete were selected as input data. The model was trained, tested using 400 data sets which were the results of on-site experiment tests. ANN system results were also compared with the experimental test results. The research results showed that the proposed models have strong and accurate prediction ability for the basalt reinforced concrete pavement composites.

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Published
2017-11-30
How to Cite
BAYRAKTAR, H., SAMANDAR, A., & SARIDEMİR, S. (2017). PREDICTION OF BASALT FIBER REINFORCED CONCRETE PAVEMENT BENDING STRENGTH VALUES . International Journal of Engineering Technologies and Management Research, 4(11), 19-24. https://doi.org/10.29121/ijetmr.v4.i11.2017.119