Discussion of "Shear Compression Failure in Reinforced Concrete Deep Beams" by Prodromos D. Zararis

This article discusses a theory recently proposed by Zararis (April 2003) according to which the shear failure of reinforced concrete deep beams under two-point or a single-point loading, with a shear span to effective depth ratio (a/d) between 1.0 and 2.5, is due to a crushing of concrete in a compression zone with a restricted depth above the tip of the critical diagonal crack. In the original study, simple expressions are derived for the restricted depth of the compression zone, as well as for ultimate shear force of deep beams with and without web reinforcement. In this discussion article, Rajasekaran and Nalinaa make the case for the use of a multilayer feed-forward artificial neural network to predict the ultimate shear strength of reinforced concrete deep beams. The discussion authors cover three types of problems: deep beams without shear reinforcement; deep beams with web reinforcement; and deep beams with both horizontal and vertical web reinforcement. They focus on the use of three types of sequential learning neural network (SLNN) architectures.

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  • Authors:
    • Rajasekaran, Sundaramoorthy
    • Nalinaa, K
  • Publication Date: 2005-6


  • English

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  • Accession Number: 01001851
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 5 2005 1:24PM