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Soft computing methods for estimating the uniaxial compressive strength of intact rock from index tests
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SYSNO ASEP 0450214 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Soft computing methods for estimating the uniaxial compressive strength of intact rock from index tests Author(s) Mishra, A. Deepak (UGN-S)
Srigyan, M. (IN)
Basu, A. (IN)
Rokade, P. J. (IN)Number of authors 4 Source Title International Journal of Rock Mechanics and Mining Sciences. - : Elsevier - ISSN 1365-1609
Roč. 80, December 2015 (2015), s. 418-424Number of pages 7 s. Publication form Online - E Language eng - English Country GB - United Kingdom Keywords uniaxial compressive strength ; rock indices ; fuzzy inference system ; artificial neural network ; adaptive neuro-fuzzy inference system Subject RIV DH - Mining, incl. Coal Mining Institutional support UGN-S - RVO:68145535 UT WOS 000365587900042 EID SCOPUS 2-s2.0-84946566161 DOI 10.1016/j.ijrmms.2015.10.012 Annotation Uniaxial compressive strength ( UCS ) is one of the most widely used rock mechanical parameters in rock engineering. Determi- nation of this parameter in the laboratory, however, requires quality rock specimens. The use of various index tests that require little or no specimen preparation and are easier to perform as well as less expensive than the uniaxial compression test has always been attractive in order to predict UCS of rock materials empirically 1 – 16 . Amongst different predictive models such as re- gression analyses, fuzzy inference system and neural network approaches ; regression analyses are commonly employed to es- tablish a predictive model to estimate UCS 17 . In the last decade or so, however, the use of soft computing methods (e.g. fuzzy in- ference system (FIS), arti fi cial neural network (ANN) and adaptive neuro – fuzzy inference system (ANFIS)) in order to establish pre- dictive models has also gained signi fi cant attention in the areas of rock mechanics and engineering geology. Several research works have dealt with the estimation of UCS and/or other intact rock properties from index test results using these soft computing methods 17 – 36 . Workplace Institute of Geonics Contact Lucie Gurková, lucie.gurkova@ugn.cas.cz, Tel.: 596 979 354 Year of Publishing 2016 Electronic address https://www.sciencedirect.com/science/article/pii/S1365160915300708?via%3Dihub
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