Strength evaluation of single adhesive concrete anchors under tensile load using artificial neural networks

Aly Marei Said, S. E. Robinson

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

Abstract

Adhesive-bonded anchors are increasingly adopted as structural fasteners for connections to hardened concrete. Due to their reliance on chemical bond, the tensile capacity of adhesive anchors is uniquely dependant on a number of factors [1]. These factors include the geometric parameters of the anchorage system, installation conditions, and adhesive bond strength which is manufacture dependent. Due to the complexity of these factors and their interaction in contributing to the tensile capacity of adhesive concrete anchors, it has proved to be difficult to evaluate their tensile strength. The design guidelines of anchorages using cast-in-place and post-installed mechanical anchors is discussed in ACI 318-08, Appendix D [2]. While, bonded anchors are used extensively in practice, they have not yet been incorporated into the design provisions of ACI 318-08 [3]. The worldwide database containing 2,878 tests of the anchors' tensile capacity was provided to the authors by Dr. Ronald A. Cook, of ACI Committee 355 on Anchorage to Concrete. The aim of this study is to estimate the tensile strength of concrete adhesive anchors in uncracked concrete using artificial neural networks (ANNs) subject to bond failure and the effect of different parameters on it. As a result of this study, the ANN model will be able to capture the complex relationship between the adhesive bond stress and geometric parameters that compose the anchorage system.

Original languageEnglish (US)
Title of host publicationUnderstanding Adhesive Anchors
Subtitle of host publicationBehavior, Materials, Installation, Design 2010 - At the ACI 2010 Spring Convention
Edition283 SP
StatePublished - Dec 1 2010
EventUnderstanding Adhesive Anchors: Behavior, Materials, Installation, Design 2010 at the ACI 2010 Spring Convention - Chicago, IL, United States
Duration: Mar 21 2010Mar 25 2010

Publication series

NameAmerican Concrete Institute, ACI Special Publication
Number283 SP
ISSN (Print)0193-2527

Other

OtherUnderstanding Adhesive Anchors: Behavior, Materials, Installation, Design 2010 at the ACI 2010 Spring Convention
CountryUnited States
CityChicago, IL
Period3/21/103/25/10

Fingerprint

Anchors
Adhesives
Concretes
Neural networks
Tensile strength
Fasteners
Chemical bonds

All Science Journal Classification (ASJC) codes

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

Cite this

Said, A. M., & Robinson, S. E. (2010). Strength evaluation of single adhesive concrete anchors under tensile load using artificial neural networks. In Understanding Adhesive Anchors: Behavior, Materials, Installation, Design 2010 - At the ACI 2010 Spring Convention (283 SP ed.). (American Concrete Institute, ACI Special Publication; No. 283 SP).
Said, Aly Marei ; Robinson, S. E. / Strength evaluation of single adhesive concrete anchors under tensile load using artificial neural networks. Understanding Adhesive Anchors: Behavior, Materials, Installation, Design 2010 - At the ACI 2010 Spring Convention. 283 SP. ed. 2010. (American Concrete Institute, ACI Special Publication; 283 SP).
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Said, AM & Robinson, SE 2010, Strength evaluation of single adhesive concrete anchors under tensile load using artificial neural networks. in Understanding Adhesive Anchors: Behavior, Materials, Installation, Design 2010 - At the ACI 2010 Spring Convention. 283 SP edn, American Concrete Institute, ACI Special Publication, no. 283 SP, Understanding Adhesive Anchors: Behavior, Materials, Installation, Design 2010 at the ACI 2010 Spring Convention, Chicago, IL, United States, 3/21/10.

Strength evaluation of single adhesive concrete anchors under tensile load using artificial neural networks. / Said, Aly Marei; Robinson, S. E.

Understanding Adhesive Anchors: Behavior, Materials, Installation, Design 2010 - At the ACI 2010 Spring Convention. 283 SP. ed. 2010. (American Concrete Institute, ACI Special Publication; No. 283 SP).

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

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Said AM, Robinson SE. Strength evaluation of single adhesive concrete anchors under tensile load using artificial neural networks. In Understanding Adhesive Anchors: Behavior, Materials, Installation, Design 2010 - At the ACI 2010 Spring Convention. 283 SP ed. 2010. (American Concrete Institute, ACI Special Publication; 283 SP).