2016
DOI: 10.15587/1729-4061.2016.80652
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Cluster analysis of fracturing in the deposits of decorative stone for the optimization of the process of quality control of block raw material

Abstract: When developing the deposits of decorative facing stone, the economic efficiency of mining to a large extent will depend on the effectiveness of management of technological processes. According to the results of research into approaches to the process of extraction of blocks of decorative stone [1-8], the efficiency of application of separate 19. A Guide to the Project Management Body of Knowledge (PMBoK Guide). Fifth Edition [Теxt].-USA : PMI Inc., 2013.-589 p. 20. Bubela, T. A study of uncertainty of expert … Show more

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Cited by 20 publications
(9 citation statements)
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“…Sobolevskyi has investigated relationship between the number of cracks in the rock mass and their spatial orientation for selection the direction of mining development (Sobolevskyi et al, 2016).…”
Section: Related Workmentioning
confidence: 99%
“…Sobolevskyi has investigated relationship between the number of cracks in the rock mass and their spatial orientation for selection the direction of mining development (Sobolevskyi et al, 2016).…”
Section: Related Workmentioning
confidence: 99%
“…After summarizing the outcomes of the studies, which were implemented in articles [1][2][3][4][5][6][7][8][9][10][11], it is possible to distinguish the following parameters that can be used for quality control of the blocking products: geostructural (orientation of fracturing, linear dimensions of cracks, depth of cracks location, shape of natural separatenesses, blockiness) and technological (anisotropy of deposit properties, orientation of monoliths in relation to the faces of the natural separatenesses, the speed of drilling and diamond rope cutting of a fractured array).…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…The image taking parameters: camera Canon PowerShot G12; focal distance 25 mm; 4.34375 lumens; diaphragm 4.5; shutter speed 1/250 s. In the obtained image, we distinguished cracks by ImageJ 1. 47 v on the basis of using approaches to recognition and identification of cracks, described in papers [1,7]. The section with identified cracks was evenly divided into zones.…”
Section: Fig 5 Scheme Of Samplingmentioning
confidence: 99%
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