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Behavior of PSC Railway Sleepers Using Next Generation Nano Based Carbon Fiber Reinforced Concrete

Ashutosh Ranjan 1, Guruswamy. J. 2, Sadath Ali Khan Zai 1, and Jayaramappa N 1
1. Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India
2. Jain University, Bangalore, Karnataka, India

Abstract—This research paper presents a detailed experimental study and finite element modelling (3D-FEM) of Prestressed Concrete railway sleepers using Ansys V16. The incresing demand of high speed trains and axle loads has resulted in the modification of existing railway prestressed concrete (PSC) sleepers andtheir rail components which in turn is demanding increased static and impact load capacity on rails and sleepers. Present experimental investigation consists of use of innovative new advanced materials such as integration of Carbon Nanotubes (CNTs), Carbon fibers(CF) and polypropylene fibers(PF) with High Performance Concrete of a design mix of M60 grade. Five different concrete mixes of PSC railway sleeper specimens viz. M60, M60+CNT, M60+CNT+PF, M60+CNT+CF, M60+CNT+PF+CF were studied. The emphasis of this paper is on load-deflection aspect of new advanced materials over conventional material used in the manufacture of railway PSC sleepers. From the experimental result it is evident that, there is enhancement in first crack load and ultimate load and decrease in deflection when compared to conventional materials of PSC railway sleepers and the same has been validated with Nonlinear modal analysis.. 

Index Terms—PSC Railway Sleepers, ANSYS V16, Static behavior of PSC sleepers, Carbon nano tubes (CNT), Polypropylene fibres (PPF), Carbon fibre(CF), load deflection, Modal frequency, Modal shapes

Cite: Ashutosh Ranjan, Guruswamy. J., Sadath Ali Khan Zai, Jayaramappa N, "Behavior of PSC Railway Sleepers Using Next Generation Nano Based Carbon Fiber Reinforced Concrete," International Journal of Structural and Civil Engineering Research, Vol. 9, No. 2, pp. 156-160, May 2020. doi: 10.18178/ijscer.9.2.156-160

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.