Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network-Reference-Cited by-同舟云学术

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Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network

Published:2014-09 Issue: Volume:55 Page:487-498
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Jahed Armaghani Danial,Hajihassani Mohsen,Yazdani Bejarbaneh Behnam,Marto Aminaton,Tonnizam Mohamad Edy

Funder

Ministry of Science, Technology and Innovation, Malaysia

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference63 articles.

1. An empirical approach for estimating shear strength of decomposed granites in Galicia, Spain;Alejano;Eng. Geol.,2011

2. Triaxial testing of devonian oil shale;Chong;J. Geotech. Eng. ASCE.,1984

3. Numerical studies on the failure process and associated microseismicity in rock under triaxial compression;Liu;Tectonophysics,2004

4. Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks;Kahraman;Int. J. Rock Mech. Min. Sci.,2006

5. Shale dynamic properties and anisotropy under triaxial loading: experimental and theoretical investigations;Sarout;Phys. Chem. Earth. A/B/C,2007

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