Artificial Neural Networks and Durability of Sphinx Limestone
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Abstract
Pore-size distributions determined experimentally and durability factors (DFs) assigned on the basis of the observed state of weathering of certain Sphinx strata were used as a pattern of input and output, respectively, to train artificial neural networks. The weights obtained were then used to calculate the DF of the remaining Sphinx strata. The calculated values excellently matched the observed relative condition of these strata as well as the durability indicated by their lithological and petrofabric makeup.
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Published In
Journal of Materials in Civil Engineering
Volume 7 • Issue 3 • August 1995
Pages: 174 - 177
Copyright
Copyright © 1995 American Society of Civil Engineers.
History
Published online: Aug 1, 1995
Published in print: Aug 1995
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