Grain size composition of broken rocks under different conditions of blasting

Rakishev, B.R.; Orynbay, A.A.; Auezova, Alma; Kuttybaev, A.E.

doi:10.25018/0236-1493-2019-08-0-83-94

Cited by 5 publications

(6 citation statements)

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“…In Rakishev et al (2014, 2019) and Rakishev (2016), it was also established that the volume of intensely destroyed rock with one borehole charge is equal to the volume of a cylinder with radius r 1 and height , and the entire volume of destroyed rock is where – charge height above the level of the bottom of the bench, m; k 1 – coefficient taking into account the fraction of the destroyed volume due to the reflected tensile wave, k 2 – coefficient taking into account the fraction of the destroyed volume due to the intumescent action of the explosion. Based on the literature data (Repin 1978; Rakishev and Rakisheva 2007), their sum () can be taken to be equal to 1, i.e.…”

Section: Methodsmentioning

confidence: 99%

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Digital hierarchical model of lumpiness of blasted rock mass

et al. 2020

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The article describes the developed new digital hierarchical model of lumpiness of blasted rocks. It is based on a combination of classes of pieces of rock by size, taken as hierarchical levels of lumpiness of rocks, and the percentage of pieces in classes, adopted for its numerical characteristics. 7 classes of rocks by size are considered, each of which is characterized by the content of its pieces. The key component of the proposed model -the granulometric composition of the blasted rocks is determined by the block mass of the rocks, the size of the zones of intense crushing, the volume of crushed rocks due to the action of stress waves and reflected waves (I stage of explosion), detonation products (swelling effect of the explosion) (II stage of explosion), and collisions of large pieces when moving (III stage of explosion). The regularities of the formation of these explosion results are established depending on the different combination of the physicomechanical properties of the rocks of the massif, the chemophysical characteristics of the explosive used, the parameters of the explosives and the explosive method.

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Section: Methodsmentioning

confidence: 99%

“…In Rakishev et al (2014Rakishev et al ( , 2019 and Rakishev (2016), it was also established that the volume of intensely destroyed rock with one borehole charge is equal to the volume of a cylinder with radius r 1 and height (h 3 + r 2 ), and the entire volume of destroyed rock is…”

Section: Methodsmentioning

confidence: 99%

Digital hierarchical model of lumpiness of blasted rock mass

et al. 2020

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“…To model the process of softening of tuff-stone, it is of considerable interest to determine the analytical type of dependence on which the dehydration process takes place. Sample № 7 was taken for the study as the most characteristic for dump tuff-stone [15][16][17]. The analytical dependence of the species was established, and it is assumed that this dependence reduces the mass of the sample over time during dehydration.…”

Section: Methodsmentioning

confidence: 99%

Research of the properties of quarry tuff-stone for complex processing

et al. 2021

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This article focuses on the complex processing of quarry tuffs-stone to extract metals (iron, titanium, copper, silver, etc.) and obtain raw materials for construction and agriculture. The issue of tuff-stone softening was investigated and the analytical dependence of the regularity of tuff-stone softening at water saturation was established, which indicates that the saturation increases with increasing mass of the sample according to the logarithmic law, and the dehydration process occurs according to the parabolic law. Also in the course of researches the magnetic susceptibility of tuff-stone was defined, which depends on size of induction of a magnetic field. The magnetically sensitive part is up to 50% by weight of the sample, and the remaining silicate part at a magnetic field strength of 1.3 Tesla. Spectral analysis showed a high content of metals in the magnetically sensitive part of tuff-stone, which consists of iron (35-40%), titanium (2.5-4.0%) and copper in the silicate part (0.4-0.7%). It was found that the percentage of content representing commercial interest, and therefore it is appropriate complex processing.

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“…After crushing each sample, the resulting mass was vibrated and divided into six control size classes. The weight of the sample as a whole, the weight of each screening class and the weight content of copper in each of the classes and in the sample as a whole were measured [13][14][15][16].…”

Section: Methodsmentioning

confidence: 99%

Modeling the distribution of rock mass and native copper output by size classes during crushing

et al. 2021

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The article considers the features of the distribution of technological indicators (product output, content and extraction of copper) by size classes, the main factors influencing the crushing process are identified and regression dependences of productivity on influencing factors are received. The parabolic nature of the dependences of the output of crushed rock on the size class is established. The high adequacy of the obtained models was confirmed and the most promising classes of rock size for copper extraction were determined. The obtained results and models will allow to develop a generalized model of the process of native copper mining and to implement this process with rational and optimal parameters. Also, the received models will allow to carry out an estimation of productivity of a research site of processing of raw materials of basalt quarries.

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Grain size composition of broken rocks under different conditions of blasting

Cited by 5 publications

References 0 publications

Digital hierarchical model of lumpiness of blasted rock mass

Digital hierarchical model of lumpiness of blasted rock mass

Research of the properties of quarry tuff-stone for complex processing

Modeling the distribution of rock mass and native copper output by size classes during crushing

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