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Glass Fibre Reinforced Concrete Rebound Optimization

by Sadık Alper YILDIZEL1, Muhammet Ensar YİĞİT2, Gökhan KAPLAN3

Karamanoglu, MehmetBey University, Faculty of Engineering, Civil Engineering Department, Karaman/TURKEY.
Celal Bayar University, Faculty of Engineering, Civil Engineering Department, Manisa/TURKEY.
Kastamonu University, Kastamonu Vocational School, Kastamonu/TURKEY.

Computer Modeling in Engineering & Sciences 2017, 113(2), 203-218. https://doi.org/10.3970/cmes.2017.113.211

Abstract

Glass fibre reinforced concrete placement technique generates losses due to rebound effects of the already sprayed concrete particles. Rebounded concrete amount cause a significant difference between the initial mix design and emplaced mix compositions. Apart from the structural differences, it comes with a cost increase which was resulted by the splashed concrete amount. Many factors such as viscosity and quantity of mixes dominate this rebound amount in sprayed glass fibre reinforced concrete applications depending on production technologies and processes; however, this research focuses on the spray distance and the angle of the spray gun which mainly effects the rebound amount in glass fibre reinforced concrete production. This paper aims to understand the required angle and distance for glass fibre reinforced concrete mixes having on-site plastic viscosity values. Glass fibre reinforced mixtures were also modelled with a finite element method based software and, the analysis results were compared with production line results. Results of the analysis and on-site studies showed a decisive correlation between, discharge distance, discharge angle and the viscosity of the concrete.

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Cite This Article

APA Style
YILDIZEL, S.A., YİĞİT, M.E., KAPLAN, G. (2017). Glass fibre reinforced concrete rebound optimization. Computer Modeling in Engineering & Sciences, 113(2), 203-218. https://doi.org/10.3970/cmes.2017.113.211
Vancouver Style
YILDIZEL SA, YİĞİT ME, KAPLAN G. Glass fibre reinforced concrete rebound optimization. Comput Model Eng Sci. 2017;113(2):203-218 https://doi.org/10.3970/cmes.2017.113.211
IEEE Style
S. A. YILDIZEL, M. E. YİĞİT, and G. KAPLAN, “Glass Fibre Reinforced Concrete Rebound Optimization,” Comput. Model. Eng. Sci., vol. 113, no. 2, pp. 203-218, 2017. https://doi.org/10.3970/cmes.2017.113.211



cc Copyright © 2017 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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