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Numerical Analysis of Geopolymer Concrete Beams Incorporated Hybrid GFRP-Steel Reinforcement
Corrosion of steel bars adversely affects the service life of reinforced concrete structures, causing serious cracks in the beams. Due to their corrosion resistance and high tensile strength, Fiber-Reinforced Polymer (FRP) bars have gained popularity in recent years for reinforcing concrete members. Nevertheless, the lower elastic modulus of FRP reinforcement results in brittle behavior of elements strengthened with polymers. Therefore, hybrid reinforcement of FRP/steel bars is recommended in recently to address the corrosion problem of steel and lack of ductility of FRP. Additionally, to overcome the consumption of natural resources and pollution problems of traditional concrete, this study involves the use of Geopolymer concrete. Geopolymer concrete (GPC) is a feasible substitute for traditional Portland concrete, owing to its inherent characteristics in terms of strength, durability and CO2 emissions. In this study, a 3D finite element model is introduced to predict the flexural behavior of beams produced from Geopolymer concrete and reinforced with hybrid FRP/steel bars. The results of suggested FE model were assessed with experiments collected from the literature, giving a satisfactory level of agreement. The developed models were employed then to investigate the effect of concrete compressive strength and FRP material type. Statistically, it was determined that the mean, standard deviation, and coefficient of variation between the measured failure loads and the FEM failure loads were, respectively, 0.98, 4.6%, and 4.8%. In addition, the findings of the FE analysis show that an increase in the concrete’s compressive strength leads to reduction in deflections.
Numerical Analysis of Geopolymer Concrete Beams Incorporated Hybrid GFRP-Steel Reinforcement
Corrosion of steel bars adversely affects the service life of reinforced concrete structures, causing serious cracks in the beams. Due to their corrosion resistance and high tensile strength, Fiber-Reinforced Polymer (FRP) bars have gained popularity in recent years for reinforcing concrete members. Nevertheless, the lower elastic modulus of FRP reinforcement results in brittle behavior of elements strengthened with polymers. Therefore, hybrid reinforcement of FRP/steel bars is recommended in recently to address the corrosion problem of steel and lack of ductility of FRP. Additionally, to overcome the consumption of natural resources and pollution problems of traditional concrete, this study involves the use of Geopolymer concrete. Geopolymer concrete (GPC) is a feasible substitute for traditional Portland concrete, owing to its inherent characteristics in terms of strength, durability and CO2 emissions. In this study, a 3D finite element model is introduced to predict the flexural behavior of beams produced from Geopolymer concrete and reinforced with hybrid FRP/steel bars. The results of suggested FE model were assessed with experiments collected from the literature, giving a satisfactory level of agreement. The developed models were employed then to investigate the effect of concrete compressive strength and FRP material type. Statistically, it was determined that the mean, standard deviation, and coefficient of variation between the measured failure loads and the FEM failure loads were, respectively, 0.98, 4.6%, and 4.8%. In addition, the findings of the FE analysis show that an increase in the concrete’s compressive strength leads to reduction in deflections.
Numerical Analysis of Geopolymer Concrete Beams Incorporated Hybrid GFRP-Steel Reinforcement
Karkush, Mahdi (Herausgeber:in) / Choudhury, Deepankar (Herausgeber:in) / Fattah, Mohammed (Herausgeber:in) / Kadhim, Ahlam Jebur (Autor:in) / Zinkaah, Othman Hameed (Autor:in)
International Conference on Geotechnical Engineering Iraq ; 2024 ; Warith Al-Anbiyaa University, Karbala, Iraq
Current Trends in Civil Engineering and Engineering Sciences 2024, Vol 2 ; Kapitel: 8 ; 99-114
16.11.2024
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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