Prediction of Strength Parameters of Himalayan Rocks: A Statistical and ANFIS Approach-Reference-Cited by-同舟云学术

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

Published:2015-06-06 Issue:5 Volume:33 Page:1255-1278
ISSN:0960-3182
Container-title:Geotechnical and Geological Engineering
language:en
Short-container-title:Geotech Geol Eng

Author:

Kainthola Ashutosh,Singh P. K.,Verma Dhananjai,Singh Rajesh,Sarkar K.,Singh T. N.

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Link

http://link.springer.com/content/pdf/10.1007/s10706-015-9899-z.pdf

Reference56 articles.

1. Azimian A, Ajalloeian R, Fatehi L (2014) An empirical correlation of uniaxial compressive strength with P-wave velocity and point load strength index on marly rocks using stati’stical method. Geotech Geol Eng 32(1):205–221

2. Babuska V, Pras Z (1984) Velocity anisotropy in granodiorite and quartzite due to the distribution of microcracks. Geophys R Astron Soc 76(1):121–127

3. Barruol G, Kern H (1996) Seismic anisotropy and shear-wave splitting in lower-crustal and upper mantle rocks from the Ivrea zone experimental and calculated data. Phys Earth Planet Int 95(3–4):175–194

4. Bilgehan M, Turgut P (2010) Artificial neural network approach to predict compressive strength of concrete through ultrasonic pulse velocity. Res Nondestruct Eval 21(1):1–17

5. Birch F (1960) The velocity of compressional waves in rocks 10 kbars: part 1. J Geophys Res 65:1083–1102

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