ARTIFICIAL NEURAL NETWORKS AND DURABILITY OF SPHINX LIMESTONE

Authors
BANDYOPADHYAY JK YERRAPRAGADA SS GAURI KL
Citation
Jk. Bandyopadhyay et al., ARTIFICIAL NEURAL NETWORKS AND DURABILITY OF SPHINX LIMESTONE, Journal of materials in civil engineering, 7(3), 1995, pp. 174-177
Citations number
13
Categorie Soggetti
Material Science","Engineering, Civil","Construcion & Building Technology
Journal title
Journal of materials in civil engineering → ACNP
ISSN journal
08991561
Volume
7
Issue
3
Year of publication
1995
Pages
174 - 177
Database
ISI
SICI code
0899-1561(1995)7:3<174:ANNADO>2.0.ZU;2-Y
Abstract
Pore-size distributions determined experimentally and durability facto rs (DFs) assigned on the basis of the observed state of weathering of certain Sphinx strata were used as a pattern of input and output, resp ectively, to train artificial neural networks. The weights obtained we re then used to calculate the DF of the remaining Sphinx strata. The c alculated values excellently matched the observed relative condition o f these strata as well as the durability indicated by their lithologic al and petrofabric makeup.