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http://hdl.handle.net/20.500.12358/24751
TitlePrediction of shear capacity of single anchors located near a concrete edge using neural networks
Untitled
Abstract

A feed forward back-propagation neural network model for predicting the shear capacity of anchor bolts located near a concrete edge is proposed. In the developed neural network, the neurons of the input layer represent the anchor outside diameter, concrete compressive strength, anchor embedment depth and the edge distance from the anchor bolt to the edge of concrete in the direction of the shear force. One neuron is used in the output layer to represent the concrete shear capacity of the anchor bolts. A database of 205 experiments available from previous laboratory anchor tests was utilised to train, validate and test the developed neural network. Predictions of the concrete shear capacity of anchors using the trained neural network are in good agreement with experimental results and those calculated from the concrete capacity design method. A parametric study has been conducted using the trained network …

Authors
Alqedra, Mamoun
Ashour, Asraf
TypeJournal Article
Date2005
Published inComputers & structures
SeriesVolume: 83, Number: 28-30
PublisherPergamon
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  • Staff Publications- Faculty of Engineering [908]
  • Staff Publications- Faculty of Science [1030]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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