Record Details

Estimation of strength parameters of rock using artificial neural networks

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Estimation of strength parameters of rock using artificial neural networks
 
Creator SARKAR, K
TIWARY, A
SINGH, TN
 
Subject p-wave
prediction
velocity
ann
artificial neural networks
rock properties
strength parameters
 
Description The accurate determination of geomechanical properties such as uniaxial compressive strength and shear strength requires considerable time in collecting appropriate samples, their preparation and laboratory testing. To minimize the time and cost, a number of empirical relations have been reported which are widely used for the estimation of complex rock properties from more easily acquired data. This paper reports the use of an artificial neural network to predict the deformation properties of Coal Measure rocks using dynamic wave velocity, point load index, slake durability index and density. The results confirm the applicability of this method.
 
Publisher SPRINGER HEIDELBERG
 
Date 2011-08-30T04:36:56Z
2011-12-26T12:58:46Z
2011-12-27T05:49:15Z
2011-08-30T04:36:56Z
2011-12-26T12:58:46Z
2011-12-27T05:49:15Z
2010
 
Type Article
 
Identifier BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 69(4), 599-606
1435-9529
http://dx.doi.org/10.1007/s10064-010-0301-3
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12195
http://hdl.handle.net/10054/12195
 
Language en