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USING CLUSTER ANALYSIS FOR PLANNING MINING OPERATIONS ON THE GRANITE QUARRIES

Ruslan Sobolevskyi, Igor Korobiichuk, Michal Nowicki, Roman Szewczyk

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b22/s09.034View metrics

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Publication details

Title
USING CLUSTER ANALYSIS FOR PLANNING MINING OPERATIONS ON THE GRANITE QUARRIES
Authors
Ruslan Sobolevskyi, Igor Korobiichuk, Michal Nowicki, Roman Szewczyk
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Informatics, Geoinformatics and Remote Sensing
Publisher
Stef92 Technology
Year
2016
Pages
263-270
ISSN
1314-2704
ISBN
978-619-7105-59-9
Language
en
Publication type
Conference Paper
References12
  1. Korobiichuk, V., The examination of leznykivskoho granite deposit fracturing with prospects of block products mining, Eastern-european Journal Of Enterprise Technologies, 2013, № 6, pp. 23-27.

  2. 2.Korobiichuk ,I., Korobiichuk, V., Nowicki, M., Shamrai, V., Skyba, G., Szewczyk , R., The study of corrosion resistance of Pokostivskiy granodiorites after processing by various chemical and mechanical methods, Construction and Building Materials, 2016, № 6114, рр .241–247.

  3. Bek, A., Kasymkanova, H., Methodology of building fracture-prone state on computing devices, VII international conference “New ideas about science of Earth”, Moscow, 2005, pp.46-47.

  4. Sieryi, S., Algorithmic basis and computer technology of modeling grate of fractures in masses of rocks, Paper Works of the 7 th international symposium “ Developing deposits of mineral resources and underground construction under complex hydro-geological conditions”, Belgorod, 2003, pp.178-183

  5. Hammah, R., Curran, J., Fuzzy Cluster Algorithm for the Automatic Identification of Joint Sets, International Journal of Rock Mechanics and Mining Sciences , Volume 35, Issue 7 , pp. 889–905

  6. Tokhmechi, B., Memarian, H., Moshiri, B., Rasouli, V., Noubari, H., Investigating the validity of conventional joint set clustering methods, Engineering Geology, 118, 2011, рр. 75–81. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  7. Korobiichuk, V., The examination of leznykivskoho granite deposit fracturing with prospects of block products mining, Eastern-european Journal Of Enterprise Technologies, 2013, № 6, pp. 23-27.

  8. 2.Korobiichuk ,I., Korobiichuk, V., Nowicki, M., Shamrai, V., Skyba, G., Szewczyk , R., The study of corrosion resistance of Pokostivskiy granodiorites after processing by various chemical and mechanical methods, Construction and Building Materials, 2016, № 6114, рр .241–247.

  9. Bek, A., Kasymkanova, H., Methodology of building fracture-prone state on computing devices, VII international conference “New ideas about science of Earth”, Moscow, 2005, pp.46-47.

  10. Sieryi, S., Algorithmic basis and computer technology of modeling grate of fractures in masses of rocks, Paper Works of the 7 th international symposium “ Developing deposits of mineral resources and underground construction under complex hydro-geological conditions”, Belgorod, 2003, pp.178-183

  11. Hammah, R., Curran, J., Fuzzy Cluster Algorithm for the Automatic Identification of Joint Sets, International Journal of Rock Mechanics and Mining Sciences , Volume 35, Issue 7 , pp. 889–905

  12. Tokhmechi, B., Memarian, H., Moshiri, B., Rasouli, V., Noubari, H., Investigating the validity of conventional joint set clustering methods, Engineering Geology, 118, 2011, рр. 75–81. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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