Experimental Research on Deep Beam using Hybrid Fiber Reinforced Concrete with M-Sand
R. Yuvanesh Kumar1, K.Vinobalji2, S.Deepa3
1R Yuvanesh Kumar, Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India.
2K Vinobalaji, Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India.
3S. Deepa , Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India.
Manuscript received on June 17, 2020. | Revised Manuscript received on June 26, 2020. | Manuscript published on July 10, 2020. | PP: 305-308 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I7166079920 | DOI: 10.35940/ijitee.I7166.079920
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Concrete is hard but liable to break easily. Hybrid fiber reinforced concrete offers several economical and technical benefits. The use of fibers extends its possibilities. The hybridization of different types of fibers may play important roles in arresting cracks and thus achieve high performance of concrete. The main reason for adding glass ,steel and polypropylene to improve the ductility of concrete. The present research work is aimed at studying, the deep beam using three different types of fibers such as glass 0.3%, steel 0.75% & 1% and polypropylene fibers 0.3% were added to volume of concrete. The mix design has been arrived based on IS code method for M20 grade of concrete. An investigation is carried out to evaluate the fresh Properties and mechanical Properties of Hybrid Fiber Reinforced Concrete (HFRC). The result shows that hybrid fiber reinforced deep beams achieved better performance than the ordinary RC deep beam under application of load.
Keywords: Hybrid fiber, Flexure behavior, High performance of concrete.
Scope of the Article: Deep Learning