Application Of Artificial Neural Network For
Dimensional Stability Of Repair Materials Under
Local Hot Weather
Author(s)
M. I. Khan
Abstract
In Saudi Arabia, the majority of concrete structures constructed more than three
decades ago suffer because of lack of quality control and severe weather
conditions. Concrete structures are prone to deterioration due to the very hot and
harsh environmental conditions. In this paper, six candidate materials are
reported. Mixture proportions, mixing and curing for all selected materials were
employed as per the recommendations suggested by the manufacturer. Based on
the experimentally obtained results, the applicability of an artificial neural
network for the prediction of shrinkage has been established. The predicted
values obtained using artificial neural networks have a good correlation between
the experimentally obtained values. Therefore, it is possible to avoid shrinkage
of repair materials using artificial neural networks.
Keywords: repair materials, dimensional stability, neural network, hot weather.
Keywords
Keywords: repair materials, dimensional stability, neural network, hot weather.
Related Book
Other papers in this volume
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