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Prediction of Strength Parameters of Himalayan Rocks: A Statistical and ANFIS Approach

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Title Prediction of Strength Parameters of Himalayan Rocks: A Statistical and ANFIS Approach
 
Creator KAINTHOLA, A
SINGH, PK
VERMA, D
SINGH, R
SARKAR, K
SINGH, TN
 
Subject UNIAXIAL COMPRESSIVE STRENGTH
P-WAVE VELOCITY
FUZZY INFERENCE SYSTEM
MANTLE ROCKS
NEURO-FUZZY
IDENTIFICATION
ANISOTROPY
PROPAGATION
CONSTANT
CONCRETE
P-wave velocity
Geomechanical properties
Himalayan rocks
ANFIS
Regression analysis
 
Description The knowledge of geomechanical properties of rocks is essential for planning and design of structures in civil, mining, and other allied industries. Direct assessment of these properties is quite expensive and time consuming. It also requires fine precision in sample preparation and high-end testing instruments. To overcome these problems, 597 rock samples of four different Himalayan rock types have been tested for their strength attributes in a laboratory. The test results were correlated with their P-wave velocity using linear regression analysis for estimation of compressive, tensile, cohesive strengths and angle of internal friction. Subsequently, an adaptive neuro-fuzzy inference system (ANFIS) technique was applied to find its efficiency as a predictor against normal regression system. The results indicated that the ANFIS is comparatively better at prediction of geotechnical strength parameters when pitted against regression techniques.
 
Publisher SPRINGER
 
Date 2016-01-14T12:05:15Z
2016-01-14T12:05:15Z
2015
 
Type Article
 
Identifier GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 33(5)1255-1278
0960-3182
1573-1529
http://dx.doi.org/10.1007/s10706-015-9899-z
http://dspace.library.iitb.ac.in/jspui/handle/100/17452
 
Language en