• Title/Summary/Keyword: underground mining

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Study on Characteristics of Diesel Particualte Matter and it's Measurement and Evaluation (디젤 입자상물질의 특성 및 측정 평가에 관한 연구)

  • 김복윤;이상권;조영도
    • Tunnel and Underground Space
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    • v.6 no.1
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    • pp.48-56
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    • 1996
  • Presently, mobile diesel equipments contribute a lot to improve the economic feasibility of underground mining and tunneling operations. Even in Korea, a lot of diesel equipments are being applied to the undergroud workings already, but the technology of management and control of them is not sufficient yet. This study handled the production procedure, characteristics and evaluation technology on diesel particulate matte(DPM) which is known as a carcinogen. For easy measurement of DPM using laser dust monitor, conversion known as a carcinogen. For easy measurement of DPM using laser dust monitor, conversion factor(k) to gravimetric concentration has been acquired. It is appeared that the critical material among the diesel exhaust pollutants is becoming DPM instead of NOx from this year of 1996 according to the Government regulation.

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Solution of yielding steel arch supports used in mining

  • Lenka Koubova
    • Steel and Composite Structures
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    • v.51 no.5
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    • pp.575-586
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    • 2024
  • Steel arch supports are used in mines and underground structures to provide stability. Most of the supports are made up of overlapping arches. They can behave either yieldingly or unyieldingly. If the normal force at any point of overlapping equals the slip resistance, the slide occurs. This paper presents a solution procedure for determining the load-carrying capacity of steel arch supports in the yielding implementation. This solution considers the effects of several significant elements, including differing materials and the number of clamps in yielding friction joints. The direct stiffness method is applied. The solution contains geometric, physical, and structural nonlinearity. The results obtained from numerical modeling using the provided procedure are compared to laboratory tests conducted at GIG Katowice in 2012. They show a good correlation with previously collected data from equivalent laboratory conditions.

Analysis of Features and Applications of Bluetooth Beacon Technology for Utilization in the Mining and Construction Industries (블루투스 비콘 기술의 광업 및 건설 분야 활용을 위한 특징과 적용사례 분석)

  • Jung, Jihoo;Baek, Jieun;Choi, Yosoon
    • Tunnel and Underground Space
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    • v.26 no.3
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    • pp.143-153
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    • 2016
  • This study analyzed the features and various applications of Bluetooth beacon technology for utilization in the mining and construction industries. Through a literature survey, the concept and version-specific features of Bluetooth were reviewed, and representative types of the Bluetooth beacon-based service and its real-world applications in other fields were analyzed. Although a few previous studies that used the Bluetooth Classic (the old version of Bluetooth technology) in the mining industry have been reported, no mine site could be found where the Bluetooth beacon technology was utilized. In the construction industry, this study could find a site where the Bluetooth beacon technology was used to improve the haulage works of construction raw materials. Since the Bluetooth beacon technology has low power consumption and is easy to integrate with smartphones, it will be effectively utilized to improve the productivity and safety in the mining and construction industries.

Case Analysis for Introduction of Machine Learning Technology to the Mining Industry (머신러닝 기술의 광업 분야 도입을 위한 활용사례 분석)

  • Lee, Chaeyoung;Kim, Sung-Min;Choi, Yosoon
    • Tunnel and Underground Space
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    • v.29 no.1
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    • pp.1-11
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    • 2019
  • This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.

Stress and wear distribution characteristics of cutterhead for EPB shield tunneling in cobble-boulders

  • Zhiyong Yang;Xiaokang Shao;Hao Han;Yusheng Jiang;Jili Feng;Wei Wang;Zhengyang Sun
    • Geomechanics and Engineering
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    • v.37 no.1
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    • pp.73-84
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    • 2024
  • Owing to the high strength and abrasive characteristics of cobble-boulders, cutters are easily worn and damaged during shield tunneling, making construction inefficient. In the present work, the stress on the ripper and scraper on the cutterhead was analyzed by the PFC3D-FLAC3D coupling model of shield tunneling to get insight into the performance of the cutterhead for cutting underground cobble and boulders. The numerical calculation results revealed that the increase in trajectory radius leads to a rising stress on the cutters, and the stress on the front cutting surface is greater than that on the back of the cutters. Moreover, the correlation between cutter wear and stress is revealed based on field measurement data. The distribution of the cutter stress is consistent with the cutter wear and breakage characteristics in actual construction, in which more extensive cutter stress is exhibited, extreme cutter wear appears, and more cutter breakage occurs. Finally, the relationship between the cutterhead opening area's layout and cutter wear distribution was investigated, indicating that the cutter wear extent is the most severe in the region where the radial opening ratio dropped sharply.

Relationship of box counting of fractured rock mass with Hoek-Brown parameters using particle flow simulation

  • Ning, Jianguo;Liu, Xuesheng;Tan, Yunliang;Wang, Jun;Tian, Chenglin
    • Geomechanics and Engineering
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    • v.9 no.5
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    • pp.619-629
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    • 2015
  • Influenced by various mining activities, fractures in rock masses have different densities, set numbers and lengths, which induce different mechanical properties and failure modes of rock masses. Therefore, precisely expressing the failure criterion of the fractured rock influenced by coal mining is significant for the support design, safety assessment and disaster prevention of underground mining engineering subjected to multiple mining activities. By adopting PFC2D particle flow simulation software, this study investigated the propagation and fractal evolution laws of the micro cracks occurring in two typical kinds of rocks under uniaxial compressive condition. Furthermore, it calculated compressive strengths of the rocks with different confining pressures and box-counting dimensions. Moreover, the quantitative relation between the box-counting dimension of the rocks and the empirical parameters m and s in Hoek-Brown strength criterion was established. Results showed that with the increase of the strain, the box-counting dimension of the rocks first increased slowly at the beginning and then exhibited an exponential increase approximately. In the case of small strains of same value, the box-counting dimensions of hard rocks were smaller than those of weak rocks, while the former increased rapidly and were larger than the latter under large strain. The results also presented that there was a negative correlation between the parameters m and s in Hoek-Brown strength criterion and the box-counting dimension of the rocks suffering from variable mining activities. In other words, as the box-counting dimensions increased, the parameters m and s decreased linearly, and their relationship could be described using first order polynomial function.

A STUDY ON THE CORRELATION BETWEEN GROUND SUBSIDENCE AREA NEAR ABANDONED UNDERGROUND COAL MINE AND GEOPHYSICAL PROSPECTING DATA USING GIS

  • Kim Ki-Dong;Choi Jong-Kuk;Won Joong-Sun
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.325-328
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    • 2005
  • To estimate presumptive local ground subsidence area near Abandoned Under ground Coal Mine(AUCM) at Samcheok city in Korea, the geological properties of existing ground subsidence area and the geophysical prospecting data were analyzed using GIS. The electrical resistivity survey and seismic reflection survey database were constructed from investigation reports and factors which are related with ground subsidence such as geological map, topological map, land use map, lineament map, groundwater level, RMR (Rock Mass Rating), mining tunnel map and slope database were constructed also to make a comparative study of each parameters. As a result of the spatial analysis of existing ground subsidence area, 9 major factors causing ground subsidence were extracted and a connection between the structure of underground and the ground subsidence was determined from the analysis of geophysical prospecting data. The estimation of presumptive ground subsidence area was performed using the correlation between the result from neural network analysis of 9 factors and the scrutiny of geophysical prospecting data.

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PFC3D simulation of the effect of particle size on the single edge-notched rectangle bar in bending test

  • Haeri, Hadi;Sarfarazi, Vahab;Zhu, Zheming
    • Structural Engineering and Mechanics
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    • v.68 no.4
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    • pp.497-505
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    • 2018
  • Three points bending flexural test was modeled numerically to study the crack propagation in the pre-cracked beams. The pre-existing edge cracks in the beam models were considered to investigate the crack propagation and coalescence paths within the modeled samples. The effects of particle size on the single edge-notched round bar in bending test were considered too. The results show that Failure pattern is constant by increasing the ball diameter. Tensile cracks are dominant mode of failure. These crack initiates from notch tip, propagate parallel to loading axis and coalescence with upper model boundary. Number of cracks increase by decreasing the ball diameter. Also, tensile fracture toughness was decreased with increasing the particle size. In the present study, the influences of particles sizes on the cracks propagations and coalescences in the brittle materials such as rocks and concretes are numerically analyzed by using a three dimensional particle flow code (PFC3D). These analyses improve the understanding of the stability of rocks and concretes structures such as rock slopes, tunnel constructions and underground openings.

An Investigation of the deformation of underground excavations in slat and potash mines

  • Kwon, Sang-Ki
    • Proceedings of the Korean Geotechical Society Conference
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    • 1998.05a
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    • pp.83-114
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    • 1998
  • The most widely accepted method for understanding the deformation mechanism of rock is from the use of computer simulation. However, if the changes in rock properties after excavation are significant this will prevent the computer simulation kent predicting the deformation with acceptable accuracy. If the deformations are, however, carefully measured in situ, the resulting data can be more useful far predicting the deformational behavior of underground openings, since the effect of the parameters which influence the deformational behavior are included in the measurement. In this study, extensive data analyses were carried out using the deformation measurements from the Waste Isolation Pilot Plant (WIPP), which is a permanent nuclear waste repository The results from computer simulations were compared with field measurements to evaluate the assumptions used in the computer simulations, For better description of the deformational behavior around underground excavations, several techniques were developed, namely: (a) the calculation of the zero strain boundary; (b) the evaluation of the influence of adjacent excavations on the deformational behavior of pre-excavated openings; (c) the description of the deformational behavior using in situ measurements; (d) the calculation of the shear stress distribution; and (e) the application of a Neural Network for the prediction of opening deformation.

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A Survey Study on the Assessment of Customer Interruption Costs Using Macro Economic Methodology in Korea

  • Park, Sang-Bong
    • KIEE International Transactions on Power Engineering
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    • v.4A no.1
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    • pp.6-10
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    • 2004
  • This paper presents an assessment of the customer interruption costs using a macro economic methodology of Korean customers by cities and provinces. The customer interruption cost is considered a very useful index in quantifying reliability worth from a customer point of view. This paper reviews the methodology to evaluate the customer interruption costs and ratio to the average revenues per electric energy sold for public, service agriculture, fishery, mining, manufacturing and residential sectors by cities and provinces in Korea.