Development of a new classification system for assessing of rock mass drillability index (RDi)

Hoseinie, Seyed Hadi; Aghababaei, H.; Pourrahimian, Yashar

doi:10.1016/j.ijrmms.2007.04.001

Cited by 81 publications

(25 citation statements)

References 12 publications

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“…Considering the simultaneous effect of various factors relating to rock material and rock mass, laboratory testing of the effect of one factor on the mechanical properties of rock samples may encounter many errors. The best method of surveying one parameter, without the effect of other parameters, is physical modelling using artificial materials such as concrete (Hoseinie, Aghababaei & Pourrahimian, 2008).…”

Section: Experimental Studymentioning

confidence: 99%

Size-dependent compressive strength properties of hard rocks and rock-like cementitious brittle materials

Darbor

Faramarzi

Sharifzadeh

2018

Geosystem Engineering

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Size-dependent compressive strength properties of hard rocks and rock-like cementitious brittle materialsRock engineering projects have always been constructed on different (from micro to macro) scales. This makes understanding rock behavior at different scales essential. In previous statistical studies on igneous hard rocks, the correlation of uniaxial compressive strength values in different diameters with estimations of specimen size-effect models was weak. In view of this knowledge gap, the present research proposed a model of appropriate size-effect in igneous hard rocks. This research also aimed at discussing the effect of specimen size and grain size on the uniaxial compressive strength of concrete specimens. To achieve these aims, studies were conducted in parallel on the previous and new experimental data.Non-linear regression analysis on igneous hard rocks indicated that there is a better agreement between the outputs of the multifractal scaling model and the specimen size-effect model using the fracture energy theory and the results of previous laboratory tests. In addition, in the experimental study, the grain size effect on the predictions of specimen size-effect models was exhibited. The results of this research can be used for designing engineering projects at different scales.

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Section: Experimental Studymentioning

confidence: 99%

Size-dependent compressive strength properties of hard rocks and rock-like cementitious brittle materials

Darbor

Faramarzi

Sharifzadeh

2018

Geosystem Engineering

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“…Information models are developed for this purpose to control the technical condition of chisels [6], methods of identification [7][8][9], methods of optimal feeding of washing fluid to the well bottom [9], methods for determining effective clarification steps [10]. Since technical condition of the drilling tools depends on the properties of rocks, a number of papers are devoted to the analysis of drillability of rocks [11][12][13][14] and methods for the evaluation of current values of drillability of rocks in the process of deepening a borehole [15]. For the implementation of these methods, specific strategies for decision-making in the process of drilling are proposed [16,17], as well as automated processing of geological-technological information on the process of drilling [18] based on the systems of telecontrol [19], as well as the methods of Fuzzy Logic [20] and intelligent systems [21,22].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Computerintegrated technology for the early detection of breaches in the borehole walls stability in the drilling process

Golovata

Kohutiak

Lagoyda

et al. 2017

EEJET

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“…Rates of good, fair, poor and very poor determined, respectively, 70%, 50%, 25% and 10% of excellent mode. By order of above rating, the classification system becomes non-linear (Hoseinie et al, 2008(Hoseinie et al, , 2009Mikaeil et al, 2011). Considering relative importance of the various parameters utilized for assessment of coal seam mechanization index, it has been assumed that the total rate is 100 as a maximum, which represents the best conditions of mechanization.…”

Section: Development a New Classification Systemmentioning

confidence: 99%

Development a New Classification for Assessing the Coal Mine Mechanization / Opracowanie nowej klasyfikacji dla oceny mechanizacji w kopalniach węgla

Mehdi¹,

Reza²,

Ataei³

et al. 2013

Archives of Mining Sciences

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The coal mine mechanization is important to achieve optimum quality and maximum efficiency of coal production. Mechanization is an objective that can result in significant cost reductions and higher levels of profitability for underground mines. The potential of coal mine mechanization depends on some important factors Such as seam inclination and thickness, geological disturbances, seam floor conditions and roof conditions. These factors should be considered in coal mine mechanization analysis. In this study, the new classification was developed with the respect to the mentioned factors. Using this system the coal seam mechanization index (CSMi) of several types of coal seams was evaluated and classified into five categories; very good, good, medium, low and very low. As a case study, the mechanization of the Takht coal seams in Golestan area of Iran was investigated using this new classification system. The results show a low potential for mechanization in most of the Takht coal seams.Keywords: mechanization, coal seams, Classification system, CSMi Mechanizacja prac w kopalniach węgla jest konieczna dla osiągnięcia maksymalnej wydajności produkcji i uzyskania węgla najwyższej jakości. Mechanizacja jest celem, który skutkować będzie znacznym obniżeniem kosztów oraz zwiększeniem poziomu rentowności produkcji w kopalniach podziemnych. Możliwości mechanizacji w kopalniach uzależnione są od szeregu ważnych czynników, takich jak nachylenie i miąższość złoża, obecność zaburzeń struktury geologicznej a także warunki stropowe i spągowe. Czynniki te koniecznie uwzględnić należy w analizach możliwości mechanizacji pracy kopalni. W pracy tej przedstawiono nową klasyfikację opartą o wyżej wymienione czynniki. W oparciu o przyjęte podejście, obliczony został wskaźnik mechanizacji dla złoża węgla i następnie zastosowany został do analiz. Na jego podstawie wyodrębniono pięć kategorii złóż węglowych w kontekście możliwości mechanicznego urabiania: bardzo dobre, dobre, średnie, niskie i bardzo niskie. Jako studium przypadku przedstawiono analizę złoża węglowego Takht w regionie Golestan w Iranie, w oparciu o zaproponowany nowy system klasyfikacji. Wyniki analizy wskazują, że większość złóż w regionie Takht stwarza niewielkie możliwości dla zastosowania mechanizacji.Słowa kluczowe: mechanizacja wydobycia, złoże węglowe, system klasyfikacji, wskaźnik mechanizacji dla danego złoża

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Development of a new classification system for assessing of rock mass drillability index (RDi)

Cited by 81 publications

References 12 publications

Size-dependent compressive strength properties of hard rocks and rock-like cementitious brittle materials

Size-dependent compressive strength properties of hard rocks and rock-like cementitious brittle materials

Computerintegrated technology for the early detection of breaches in the borehole walls stability in the drilling process

Development a New Classification for Assessing the Coal Mine Mechanization / Opracowanie nowej klasyfikacji dla oceny mechanizacji w kopalniach węgla

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Development of a new classification system for assessing of rock mass drillability index (RDi)

Cited by 81 publications

References 12 publications

Size-dependent compressive strength properties of hard rocks and rock-like cementitious brittle materials

Size-dependent compressive strength properties of hard rocks and rock-like cementitious brittle materials

Computer­integrated technology for the early detection of breaches in the borehole walls stability in the drilling process

Development a New Classification for Assessing the Coal Mine Mechanization / Opracowanie nowej klasyfikacji dla oceny mechanizacji w kopalniach węgla

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Computerintegrated technology for the early detection of breaches in the borehole walls stability in the drilling process