Cerchar Abrasivity Index Estimation of Andesitic Rocks in Ecuador from Petrographical Properties Using Artificial Neural Networks
Publication: International Journal of Geomechanics
Volume 20, Issue 5
Abstract
Rock abrasivity is the main factor that causes erosion of excavation tools and is usually quantified by the Cerchar Abrasivity Index (CAI). Although Cerchar abrasivity tests are easy to perform, they are time consuming and require a relatively high volume of rock samples. Having good correlations of CAI values and other faster and simpler tests is therefore of great interest, since it results in time and budget savings when controlling excavating tool wear. Based on the results of 73 andesitic rock samples coming from the central area of Ecuador, this paper presents a series of artificial neural networks developed to find a good estimation of CAI values of andesitic rocks from their petrographical properties. The network showing the best performance (R2 equal to 97%) is identified and a detailed process to estimate CAI value using the network developed is described.
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Published In
International Journal of Geomechanics
Volume 20 • Issue 5 • May 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jan 29, 2019
Accepted: Sep 9, 2019
Published online: Mar 16, 2020
Published in print: May 1, 2020
Discussion open until: Aug 17, 2020
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