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A fuzzy logic based classification for assessing of rock mass drillability
Shahrood University of Technology, Petroleum and Geophysics Department, Shahrood University of Technology, Faculty of Mining Engineering, Geophysics and Petroleum, Shahrood University of Technology.
Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology.
Department of Mining and Metallurgy Engineering, Urmia University of Technology, Faculty of Mining Engineering, Geophysics and Petroleum, Shahrood University of Technology.
Faculty of Mining Engineering, Petroleum and Geophysics, Shahrood University of Technology.
2011 (Engelska)Ingår i: International Journal of Mining and Mineral Engineering, ISSN 1754-890X, E-ISSN 1754-8918, Vol. 3, nr 4, s. 278-289Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

his paper describes a fuzzy classification system for evaluating of rock mass drillability. Six parameters; Uniaxial Compressive Strength (UCS), joints dipping, Mohs hardness, joints aperture, joints spacing and grain size have been used. In this fuzzy system, each rock mass is classified into five modes from very poor to excellent condition. As a case study, 15 rock masses in two mines in Iran have been studied and classified using fuzzy system and classic classification. The comparison of the results shows that the fuzzy classification produces clearer results than classic system especially in rock masses with boundary condition.

Ort, förlag, år, upplaga, sidor
2011. Vol. 3, nr 4, s. 278-289
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-12535DOI: 10.1504/IJMME.2011.045470Lokalt ID: bb19f71c-fa9e-4269-b0ed-a464ce785d81OAI: oai:DiVA.org:ltu-12535DiVA, id: diva2:985486
Anmärkning
Upprättat; 2011; 20160704 (andbra)Tillgänglig från: 2016-09-29 Skapad: 2016-09-29 Senast uppdaterad: 2017-11-24Bibliografiskt granskad

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