Prediction of uniaxial compressive strength of carbonate rocks from nondestructive tests using multivariate regression and LS-SVM methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
http://link.springer.com/content/pdf/10.1007/s12517-019-4307-2.pdf
Reference84 articles.
1. Aboutaleb S, Bagherpour R, Behina M, Aghababaei M (2017) Combination of the physical and ultrasonic tests in estimating the uniaxial compressive strength and Young’s modulus of intact limestone rocks. Geotech Geol Eng 35:3015–3023
2. Altındağ R (2012) Correlation between P-wave velocity and some mechanical properties for sedimentary rocks. South Afr Inst Min Metall 112:229–237
3. Alvarez Grima M, Babuška R (1999) Fuzzy model for the prediction of unconfined compressive strength of rock samples. Int J Rock Mech Min 36:339–349
4. Anon (1979) Classification of rocks and soils for engineering geological mapping part I: rock and soil materials. Bull Int Assoc Eng Geol 19:364–371
5. ASTM (1999) Standard test method for compressive strength of dimension stone (designation: C 170). Annual book of ASTM standards, Philadelphia
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