Maximum volume cuboids for arbitrarily shaped in-situ rock blocks as determined by discontinuity analysis—A genetic algorithm approach

Cluster analysis of fracturing in the deposits of decorative stone for the optimization of the process of quality control of block raw material

“…Paper [3] examined influence of natural fracturing on the productivity of technological complexes. It is worthwhile emphasizing a group of articles [4][5][6][7][8][9][10][11], the basic task of which was to assess blockiness of decorative stone deposits. This group of publications is characterized by the diversity of approaches to the definition of blockiness, in part due to different types of rocks that were examined.…”

“…Thus, papers [4,5] pay much attention to evaluation of blockiness based on the analysis of geometric ratios between the systems of cracks. The study of effect of fracturing on the quality of decorative stone deposit was the subject of articles [6][7][8][9][10][11]. Paper [6] examined the method of assessment of decorative stone deposit for obtaining block products based on results of fracturing measurement.…”

“…Ref. [8], based on the simulation of systems of cracks and splits, assessed deposit blockiness, the peculiarity being the use of cubes instead of the classic parallelepipeds for the model of an artificial block. The authors in [9] conducted geostatic simulation of the efficiency of extracting block stone at cutting, which substantially narrows the scope of application of results of this research, and requires further comprehensive consideration of influence of other technologies when planning development of mining.…”

“…6) The information about the systems of cracks is important for assessing the main criterion of a decorative stone deposit -blockiness. Taking into account the experience of methods of determining the blockiness, which were implemented by the authors in [6][7][8]11], the basic task for adequate assessment of blockiness is the construction of appropriate predicting model of angular and linear ratios of the systems of cracks. When determining the angular ratio, the most rational approach is the approach to a crack as the plane in space.…”

A computational algorithm for rock cutting optimisation from primary blocks

“…Ülker and Turanboy [9] used a genetic algorithm to determine the maximum volume of extractable cuboids from arbitrarily shaped in-situ blocks of rock. Specifically, for each natural block, the genetic algorithm obtains the rectangular cuboid that fits into the block, depending on the fracture system.…”