International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2557

Full Length Research Paper

Nonlinear analysis of load-deflection testing of reinforced one-way slab strengthened by carbon fiber reinforced polymer (CFRP) and using artificial neural network (ANN) for prediction

Mohammad Reza Halvaey Far1*, M. Z. Jumaat2, S. Vahid Razavi T1, Pegah Mohammadi1 and Hamed Mohammadi1
  1Civil Engineering Department, Islamic Azad University, Dezful Branch, Iran. 2Civil Engineering Department, University of Malaya, Malaysia.
Email: [email protected]

  •  Accepted: 10 May 2011
  •  Published: 31 July 2011

Abstract

 

Load-deflection curve is the most important part of the structural analysis of RC beam and slab. The load-deflection analysis of the RC one-way slab strengthened by CFRP using experimental work, finite element analysis (FEA), artificial neural network (ANN), and a comparison of them together are the important objective of this study. The dimension of the one-way slab was 1800×400×120 mm which was strengthened by different length and width of carbon fiber reinforced polymer (CFRP). The experimental results sufficiently adapted with FEA and ANNs output. The feed forward back-propagation (FFB) was the best ANN for prediction of load-deflection curve with minimum error below 1%, and maximum correlation coefficient close to 1.

 

Key words: Carbon fiber reinforced polymer (CFRP), finite element analysis (FEA), artificial neural network (ANN), feed forward back-propagation (FFB).

Copyright © 2023 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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