Evaluating punching shear strength of slabs without shear reinforcement using artificial neural networks

A. M. Said, Y. Tian, A. Hussein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Punching shear failure of concrete slabs poses a significant risk in many concrete structures. This mode of failure can be brittle and catastrophic. The ability to accurately estimate the punching shear capacity of slab column connections in existing structures is essential, especially in evaluating the suitability to new loads added to a building. Punching shear has been studied, both experimentally and analytically. However, due to the number of parameters involved and the complexities in modeling, current approaches used to estimate the punching shear capacity of reinforced concrete (RC) slabs include mechanical models and design code equations. Mechanical models are complex, while design code equations are empirical. This study investigates the ability of artificial neural networks (ANN) to predict the punching shear strength of concrete slabs. The parameters considered to be the most significant in punching shear resistance of RC slabs were: concrete strength, slab depth, shear span to depth ratio, column size to slab effective depth ratio and flexure reinforcement ratio. Using a large and homogenous database from existing experimental data reported in the literature, the ANN model is able to predict the punching shear capacity of slabs more accurately than were the code design equations.

Original languageEnglish (US)
Title of host publicationRecent Development in Reinforced Concrete Slab Analysis, Design, and Serviceability 2011 - Held at the ACI Fall 2011 Convention
Pages107-124
Number of pages18
Edition287 SP
StatePublished - Dec 1 2011
EventRecent Development in Reinforced Concrete Slab Analysis, Design, and Serviceability 2011 at the ACI Fall 2011 Convention - Cincinnati, OH, United States
Duration: Oct 16 2011Oct 20 2011

Publication series

NameAmerican Concrete Institute, ACI Special Publication
Number287 SP
ISSN (Print)0193-2527

Other

OtherRecent Development in Reinforced Concrete Slab Analysis, Design, and Serviceability 2011 at the ACI Fall 2011 Convention
CountryUnited States
CityCincinnati, OH
Period10/16/1110/20/11

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)

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