Estimation of strength parameters of rock using artificial neural networks |
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Authors: | Kripamoy Sarkar Avyaktanand Tiwary T N Singh |
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Affiliation: | (1) Department of Civil Engineering, SPCE, Munshi Nagar, Andheri (W), Mumbai, 400058, India;(2) Institute of Technology, BHU, Varanasi, 221005, India;(3) Department of Earth Sciences, IIT Bombay, Powai, 400076, India |
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Abstract: | 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. |
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