• 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



Basalt, Basalt Fibers, Artificial Neural Network, Concrete, Basalt Fiber Reinforced Concrete


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.


Download data is not yet available.


Ağar, E., Öztaş, G., Sütaş, İ., Concrete Roads. Istanbul Technical University Publications, Istanbul, 1998.

Taşdemir, Y., Ağar, E., Concrete Roads Which can be Compressed with a Road Roller, Ready Mixed Concrete Magazine, 9, 2002, 51.

Papagiannakis, A. T., & Masad, E. A., Pavement design and materials. John Wiley & Sons. 2017.

Krayushkina, K., Khymerik, T., Skrypchenko, O., Moshkovskyi, I., & Pershakov, V., Investigation of Fiber Concrete for Road and Bridge Building, Procedia Engineering, 187, 2017, 620-627. DOI:

Kong, L., Zhang, B., & Fang, J., Study on the Applicability of Bactericides to Prevent Concrete Microbial Corrosion, Construction and Building Materials, 149, 20171-8. DOI:

Nanni Antonio, Fatigue Behavior of Steel Fibre Reinforced Concrete, CemConcr Compos 13(4), 1991, 239–245. DOI:

Dehghan, A., Peterson, K., & Shvarzman, A., Recycled Glass Fiber Reinforced Polymer Additions to Portland Cement Concrete, Construction and Building Materials, 146, 2017, 238- 250. DOI:

Yıldızel, S. A., Kaplan, G., & Öztürk, A. U., Cost Optimization of Mortars Containing Different Pigments and Their Freeze-Thaw Resistance Properties, Advances in Materials Science and Engineering, 2016. DOI:

K. Afshinnia, P.R. Rangaraju, Influence of Fineness of Ground Recycled Glass on Mitigation of Alkali–Silica Reaction in Mortars, Constr. Build. Mater. 81, 2016, 257–267. DOI:

Dal Lago, B., Taylor, S. E., Deegan, P., Ferrara, L., Sonebi, M., Crosset, P., & Pattarini, A., FullScale Testing and Numerical Analysis of a Precast Fibre Reinforced Self-Compacting Concrete Slab Pre-Stressed With Basalt Fibre Reinforced Polymer Bars, Composites Part B: Engineering, 128, 2017, 120-133. DOI:

Chunmei, G. A. O., & Weijie, W. U., Using ESEM to Analyze the Microscopic Property ofBasalt Fiber Reinforced Asphalt Concrete, International Journal of Pavement Research andTechnology,2017.

Li, W., & Xu, J., Mechanical Properties of Basalt Fiber Reinforced Geopolymeric Concrete Under Impact Loading, Materials Science and Engineering: A, 505(1), 2009, 178-186. DOI:

Yıldızel, S. A., Kaplan, G., Öztürk, A. U., & Arslan, Y., Freeze-Thaw Resistance Of LightColoured Basalt Fibre Reinforced Concrete Used For Concrete Paving, Journal of Engineering Research and Applied Science, 3(2), 2015, 252-259.

Dong, J. F., Wang, Q. Y., & Guan, Z. W., Material Properties Of Basalt Fibre Reinforced Concrete Made With Recycled Earthquake Waste, Construction and Building Materials, 130, 2017, 241-251. DOI:

Shahin, M. A., Jaksa, M. B., & Maier, H. R., Artificial Neural Network Applications In Geotechnical Engineering, Australian Geomechanics, 36(1), 2001, 49-62.

Kutlak, H., Isik, M., Uygur, I., Ozgan, E., & Arslan, Y., Analysis of The Operating Torques Via Anfis Of Stabilizer Connection Parts That Is One Of The Front Suspension Equipment, Journal of Engineering Research and Applied Science, 6(1), 2017, 583-589.

Yıldızel, S. A., & Öztürk, A. U., A Study on the Estimation of Prefabricated Glass Fiber Reinforced Concrete Panel Strength Values with an Artificial Neural Network Model, CMC, 52(1), 2016, 41-52.

Sierra, J. E., & Santos, M., Modelling Engineering Systems Using Analytical and Neural Techniques: Hybridization, Neuro computing, 271, 2018, 70–83. DOI:

Das, S. K., & Basudhar, P. K. Utilization of Self-organizing Map and Fuzzy Clustering For Site Characterization Using Piezocone Data, Computers and Geotechnics, 36(1), 2009, 241-248. DOI:

Yang, Y. X., & Lian, J., Basalt Fiber Reinforced Concrete, In Advanced Materials Research 194, 2011, 1103-1108. DOI:




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.