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ISRN Materials Science
Volume 2014 (2014), Article ID 928278, 8 pages
http://dx.doi.org/10.1155/2014/928278
Research Article

Flexural Fatigue-Life Assessment and Strength Prediction of Glass Fibre Reinforced Polymer Concrete Composites

1Department of Mechanical Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144011, India
2Department of Civil Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144011, India

Received 18 January 2014; Accepted 4 March 2014; Published 27 March 2014

Academic Editors: M. R. Howlader, A. O. Neto, J. Provis, Y. Sun, and H. Yoshihara

Copyright © 2014 Raman Bedi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The paper presents the results of an investigation conducted to assess the fatigue-life and prediction of flexural fatigue strength of polymer concrete composites based on epoxy resin as binder material. Three point flexural fatigue tests were conducted on polymer concrete specimens using MTS servo controlled actuator, to obtain the fatigue lives of the composites at different stress levels. One hundred and thirty-seven specimens of size  mm were tested in flexural fatigue. Forty-three static flexural tests were also conducted to facilitate fatigue testing. It has been observed that the probabilistic distribution of fatigue-life of polymer concrete composite (PCC) and glass fibre reinforced polymer concrete composite (GFRPCC), at a particular stress level, approximately follows the two-parameter Weibull distribution, with statistical corelation coefficient values exceeding 0.90. The fatigue strength prediction model, representing S-N relationship, has been examined and the material coefficients have been obtained for GFRPCC containing 0.5% and 1.0% glass fibres. Design fatigue lives for GFRPCC containing different contents of glass fibres have been estimated for acceptable probabilities of failure and compared with those of PCC.