• Title/Summary/Keyword: deep mine

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A Case Study of Electrical Resistivity and Borehole Imaging Methods for Detecting Underground Cavities and Monitoring Ground Subsidence at Abandoned Underground Mines (폐광산 지역의 공동 탐지 및 지반침하 모니터링을 위한 전기비저항탐사와 시추공영상촬영기법 적용 사례)

  • Choi, Jeong-Ryul;Kim, Seung-Sep;Park, Sang-Kyu;Shin, Kwang-Soo;Kang, Byung-Chun
    • Journal of the Korean earth science society
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    • v.34 no.3
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    • pp.195-208
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    • 2013
  • We employed electrical resistivity and optical borehole imaging methods to identify underground cavities and determine ground subsidence rate at the study area affected by land subsidence due to abandoned underground mines. At the study site 1, the anomalous zones of low resistivity ranging between 100 ohm-meter and 150 ohm-meter were observed and confirmed as an abandoned underground mine by subsequent borehole drilling and optical borehole imaging. Although the electrical resistivity survey was unavailable due to the paved surface of the study site 2, we were able to locate another abandoned underground mine with the collapsed mine shaft based on the distribution of the ore veins and confirmed it with borehole drilling. In addition, we measured vertical displacements of underground features indicating underground subsidence by conducting optical borehole imaging 6 times over a period of 43 days at the study site 2. The displacement magnitude at the deep segment caused by subsidence appeared to be 3 times larger than those at the shallow segment. Similarly, the displacement duration at the deep segment was 4 times longer than those at the shallow segment. Therefore, the combination of electrical resistivity and optical borehole imaging methods can be effectively applicable to detect and monitor ground subsidence caused by underground cavities.

A Study on Optimum Ventilation System in the Deep Coal Mine (심부 석탄광산의 환기시스템 최적화 연구)

  • Kwon, Joon Uk;Kim, Sun Myung;Kim, Yun Kwang;Jang, Yun Ho
    • Tunnel and Underground Space
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    • v.25 no.2
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    • pp.186-198
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    • 2015
  • This paper aims for the ultimate goal to optimize the work place environment through assuring the optimal required ventilation rate based on the analysis of the airflow. The working environment is deteriorated due to a rise in temperature of a coal mine caused by increase of its depth and carriage tunnels. To improve the environment, the ventilation evaluation on J coal mine is carried out and the effect of a length of the tunnel on the temperature to enhance the ventilation efficiency in the subsurface is numerically analyzed. The analysis shows that J coal mine needs $17,831m^3/min$ for in-flow ventilation rate but the total input air flowrate is $16,474m^3/min$, $1,357m^3/min$ of in-flow ventilation rate shortage. The temperatures were predicted on the two developed models of J mine, and VnetPC that is a numerical program for the flowrate prediction. The result of the simulation notices the temperature in the case of developing all 4 areas of -425ML as a first model is predicted 29.30 at the main gangway 9X of C section and in the case of developing 3 areas of -425ML excepting A area as a second model, it is predicted 27.45 Celsius degrees.

Analysis of the failure mechanism and support technology for the Dongtan deep coal roadway

  • Chen, Miao;Yang, Sheng-Qi;Zhang, Yuan-Chao;Zang, Chuan-Wei
    • Geomechanics and Engineering
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    • v.11 no.3
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    • pp.401-420
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    • 2016
  • The stability of deep coal roadways with large sections and thick top coal is a typical challenge in many coal mines in China. The innovative Universal Discrete Element Code (UDEC) trigon block is adopted to create a numerical model based on a case study at the Dongtan coal mine in China to better understand the failure mechanism and stability control mechanism of this kind of roadway. The failure process of an unsupported roadway is simulated, and the results suggest that the deformation of the roof is more serious than that of the sides and floor, especially in the center of the roof. The radial stress that is released is more intense than the tangential stress, while a large zone of relaxation appears around the roadway. The failure process begins from partial failure at roadway corners, and then propagates deeper into the roof and sides, finally resulting in large deformation in the roadway. A combined support system is proposed to support roadways based on an analysis of the simulation results. The numerical simulation and field monitoring suggest that the availability of this support method is feasible both in theory and practice, which can provide helpful references for research on the failure mechanisms and scientific support designing of engineering in deep coal mines.

Study on bearing characteristic of rock mass with different structures: Physical modeling

  • Zhao, Zhenlong;Jing, Hongwen;Shi, Xinshuai;Yang, Lijun;Yin, Qian;Gao, Yuan
    • Geomechanics and Engineering
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    • v.25 no.3
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    • pp.179-194
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    • 2021
  • In this paper, to study the stability of surrounding rock during roadway excavation in different rock mass structures, the physical model test for roadway excavation process in three types of intact rock mass, layered rock mass and massive rock mass were carried out by using the self-developed two-dimensional simulation testing system of complex underground engineering. Firstly, based on the engineering background of a deep mine in eastern China, the similar materials of the most appropriate ratio in line with the similarity theory were tested, compared and determined. Then, the physical models of four different schemes with 1000 mm (height) × 1000 mm (length) × 250 mm (width) were constructed. Finally, the roadway excavation was carried out after applying boundary conditions to the physical model by the simulation testing system. The results indicate that the supporting effect of rockbolts has a great influence on the shallow surrounding rock, and the rock mass structure can affect the overall stability of the surrounding rock. Furthermore, the failure mechanism and bearing capacity of surrounding rock were further discussed from the comparison of stress evolution characteristics, distribution of stress arch, and failure modes in different schemes.

Experimental study on nano silica modified cement base grouting reinforcement materials

  • Zhou, Fei;Sun, Wenbin;Shao, Jianli;Kong, Lingjun;Geng, Xueyu
    • Geomechanics and Engineering
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    • v.20 no.1
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    • pp.67-73
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    • 2020
  • With the increasing number of underground projects, the problem of rock-water coupling catastrophe has increasingly become the focus of safety. Grouting reinforcement is gradually applied in subway, tunnel, bridge reinforcement, coal mine floor and other construction projects. At present, cement-based grouting materials are easy to shrink and have low strength after solidification. In order to overcome the special problems of high water pressure and high in-situ stress in deep part and improve the reinforcement effect. In view of the mining conditions of deep surrounding rock, a new type of cement-based reinforcement material was developed. We analyses the principle and main indexes of floor strengthening, and tests and optimizes the indexes and proportions of the two materials through laboratory tests. Then, observes and compares the microstructures of the optimized floor strengthening materials with those of the traditional strengthening materials through scanning electron microscopy. The test results show that 42.5 Portland cement-based grouting reinforcement material has the advantages of slight expansion, anti-dry-shrinkage, high compressive strength and high density when the water-cement ratio is 0.4, the content of bentonite is 4%, and the content of Nano Silica is 2.5%. The reinforcement effect is better than other traditional grouting reinforcement materials.

Failure pattern of large-scale goaf collapse and a controlled roof caving method used in gypsum mine

  • Chen, Lu;Zhou, Zilong;Zang, Chuanwei;Zeng, Ling;Zhao, Yuan
    • Geomechanics and Engineering
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    • v.18 no.4
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    • pp.449-457
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    • 2019
  • Physical model tests were first performed to investigate the failure pattern of multiple pillar-roof support system. It was observed in the physical model tests, pillars were design with the same mechanical parameters in model #1, cracking occurred simultaneously in panel pillars and the roof above barrier pillars. When pillars 2 to 5 lost bearing capacity, collapse of the roof supported by those pillars occurred. Physical model #2 was design with a relatively weaker pillar (pillar 3) among six pillars. It was found that the whole pillar-roof system was divided into two independent systems by a roof crack, and two pillars collapse and roof subsidence events occurred during the loading process, the first failure event was induced by the pillars failure, and the second was caused by the roof crack. Then, for a multiple pillar-roof support system, three types of failure patterns were analysed based on the condition of pillar and roof. It can be concluded that any failure of a bearing component would cause a subsidence event. However, the barrier pillar could bear the transferred load during the stress redistribution process, mitigating the propagation of collapse or cutting the roof to insulate the collapse area. Importantly, some effective methods were suggested to decrease the risk of catastrophic collapse, and the deep-hole-blasting was employed to improve the stability of the pillar and roof support system in a room and pillar mine.

Development of Urban Mine Recycling Technology by Machine Learning (머신러닝에 의한 도시광산 재활용 기술 개발)

  • Terada, Nozomi;Ohya, Hitoshi;Tayaoka, Eriko;Komori, Yuji;Tayaoka, Atsunori
    • Resources Recycling
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    • v.30 no.4
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    • pp.3-10
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    • 2021
  • The field of recycling for waste electronic components, which is the typical example of an urban mine, requires the development of useful sorting techniques. In this study, a sorter based on image identification by deep learning was developed to select electronic components into four groups. They were recovered from waste printed circuit boards and should be separated to depend on the difference after treatment. The sorter consists of a workstation with GPU, camera, belt conveyor, air compressor. A small piece (less than 3.5 cm) of electronic components on the belt conveyor (belt speed: 6 cm/s) was taken and learned as teaching data. The accuracy of the image identification was 96% as kinds and 99% as groups. The optimum condition of sorting was determined by evaluating accuracies of image identification and recovery rates by blowdown when changing the operating condition such as belt speed and blowdown time of compressed air. Under the optimum condition, the accuracy of image classification in groups was 98.7%. The sorting rate was more than 70%.

Innovation of the Underhand Closed Bench (UCB) Mining Method Utilizing Large-Scale Blasting in Deep Underground Mining (심부 지하광산 개발에서의 대규모 발파를 활용한 Underhand Closed Bench (UCB) 채광 혁신기술)

  • Seogyeong Lee;Se-Wook Oh;Sang-Ho Cho;Junhyeok Park
    • Explosives and Blasting
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    • v.42 no.2
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    • pp.29-41
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    • 2024
  • The increasing demand for metallic minerals due to global growth and the continued exploitation of near-surface minerals requires safe and efficient ways to mine ores present in deep mines. In deep mines, stresses concentrated around the cavity increase, which can lead to problems such as induced seismicity and rockbursts. In addition, the transfer of energy from blasting to deeply located faults can cause fault slip, which can lead to earthquakes, and controlling these events is key to deep mining methods. In this technical report, we will introduce the Underhand Closed Bench (UCB) mining method, which can control possible accidents and increase productivity when mining in deep mines.

In-Situ Stress Measurements for Excavation of Deep Cavern (대심도 지하 공간 굴착을 위한 초기지압 측정 결과)

  • Lee, Hong-Gyu
    • Tunnel and Underground Space
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    • v.19 no.6
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    • pp.567-582
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    • 2009
  • The world's largest nucleon decay experiment facility is constructed at a depth of approximately 1,000meters, in the Kamioka mine, Japan. Because of the character as a large cavern in deep underground, in-situ stress measurements were conducted to provide basic information for design of the cavern. Three overcoring methods were used: 8-element embedding gauges developed by Japanese Central Research Institute of Electric Power Industry, hemispherical ended borehole technique with eight strain cross-gauges, and Hollow Inclusion Cell with 12 strain gauges. The principle stresses were not perfectly similar in each measurement. The average values of the 6 stress element were used to provide the direction and the magnitude of three principle stress.

Optimal pre-conditioning and support designs of floor heave in deep roadways

  • Wang, Chunlai;Li, Guangyong;Gao, Ansen;Shi, Feng;Lu, Zhijiang;Lu, Hui
    • Geomechanics and Engineering
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    • v.14 no.5
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    • pp.429-437
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    • 2018
  • In order to reduce deformation of roadway floor heave in deep underground soft rockmass, four support design patterns were analyzed using the Fast Lagrangian Analysis of Continua (FLAC)3D, including the traditional bolting (Design 1), the bolting with the backbreak in floor (Design 2), the full anchorage bolting with the backbreak in floor (Design 3) and the full anchorage bolting with the bolt-grouting backbreak in floor (Design 4). Results show that the design pattern 4, the full anchorage bolting with the bolt-grouting backbreak in floor, was the best one to reduce the deformation and failure of the roadway, the floor deformation was reduced at 88.38% than the design 1, and these parameters, maximum vertical stress, maximum horizontal displacement and maximum horizontal stress, were greater than 1.69%, 5.96% and 9.97%. However, it was perfectly acceptable with the floor heave results. The optimized design pattern 4 provided a meaningful and reliable support for the roadway in deep underground coal mine.