• Tunnel and Underground Space
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• v.18 no.6
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• pp.408-417
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• 2008

Rock mass classification methods such as RMR and Q system have different characteristics each other in parameters considered and applications, and so it is very important to prescribe the relationship between parameters for the analysis of correlativity of these methods. With the Held data of RMR and Q estimation in road construction sites, the acquaintance relations between RMR and Q of rock mass classifications are analyzed. The correlation equations between parameters of RMR and Q, matrix of correlation coefficients and the generalized form of acquaintance relation matrix are derived. This acquaintance relation matrix can be further extended to the form of generalized acquaintance relation network, and could be used to analyze the correlativity and to enhance the utility of common rock mass classification methods.

• Tunnel and Underground Space
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• v.14 no.2
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• pp.97-107
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• 2004

Various kinds of rock mass properties, which can be obtained from laboratory tests as well as field tests, can be reasonably applied to the design of earth structures. An extrapolation technique can be used for this application and it generally guarantee its quality from a sufficient amount of test results because it is based on the RMR value in most cases. When the confident RMR can not be obtained because of the insufficient testing results, the Monte Carlo Simulation technique can be introduced fer deducing the proper RMR and this assessed RMR can be reused fur the major input parameters. Authors' proposed method can be verified from the comparison between the results of numerical analysis and the evidences of field site.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.573-573
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• 2009

지열에너지는 지구가 생성될 당시부터 지구 내부에 존재하는 무한한 열에너지로 온실가스 배출이 적으며 태양광이나 풍력 등 다른 신재생 에너지와는 달리 일정한 에너지를 공급할 수 있는 항상성 에너지로 기저부하를 담당할 수 있다. 지열을 이용한 전력 생산은 1904년에 이탈리아 라데렐로에서 처음으로 시작되었으며, 현재까지 화산지대를 중심으로 활발히 이루어지고 있다. 2001년에서 2005년 사이에 전세계 지열발전용량은 약 13% 증가하였으며, 2005년을 기준으로 약 8,933MWe의 지열발전설비가 가동 중이다. 최근 들어 지하 심부까지 시추하여 지열저장소(geothermal reservoir)를 형성하고 이를 통해 지열에너지를 생산하는 새로운 시스템인 EGS(Enhanced Geothermal Systems)가 개발됨에 따라 비화산지대에서도 지열발전소를 건설하려는 움직임이 가속화되고 있다. EGS는 지하 심부의 불투수성 결정질 암반에 존재하는 지열에너지의 경제적인 생산뿐만 아니라 물을 주입하여 생산시키는 순환 방식을 이용하여 지열에너지 획득의 매개 역할을 하는 지열수의 고갈 문제를 해결하였다. 결정질 암반에서의 지열저장소의 형성은 암반 내에 분포하는 불연속면에서 주로 발생하며, 이를 위한 압력 조건은 현지 암반의 응력 분포 특성과 암반 및 불연속면의 물성에 좌우된다. 시추공을 통해 지하 심부의 암반에 수압이 가해지면 물의 주입으로 불연속면의 마찰력이 감소하며, 이로 인해 불연속면에 전단변형이 발생하게 된다. 전단변형은 불연속면을 열린 상태로 유지시켜 지열저장소를 형성하게 된다. 불연속면의 전단 변형시 발생하는 미소 탄성파는 시추공 주변에 설치한 모니터링 장비에서 측정되며, 모니터링 장비에 의해 측정된 미소 탄성파 발생 지점의 클러스터는 지열저장소의 공간적 분포 및 규모를 추정할 수 있는 자료가 된다. 현재 EGS를 이용한 지열발전 프로젝트는 프랑스 슐츠, 스위스 바젤, 호주 하바네로에서 대표적으로 진행 중이다. 슐츠는 현재 1.5MWe의 파일럿 플랜트를 가동 중이며, 하바네로는 파일럿 플랜트 건설 단계를 진행중이다. 스위스 바젤은 지열저장소를 형성시킬 목적으로 수행된 주입시험에서 발생된 문제에 대한 기술의 신뢰성을 확보할 목적으로 잠시 중단된 상태다. 제주도는 신생대에 분출하여 형성된 대표적인 한국의 화산지형으로 지열부존 가능성이 높을 것으로 예상되는 지역이다. 따라서 폐사는 지열에너지 부존 특성을 파악하기 위한 심부 물리 탐사 및 탐사정 시추가 실시될 예정이며 궁극적으로 국내 최초의 상용화된 지열발전소 건설을 목표로 하고 있다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.11a
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• pp.149-156
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• 2000

본 연구는 영남지역일대의 주요암반을 대상으로 그 지질특성을 조사하고 암석 및 지질의 특성과 물성시험 자료를 토대로 하여 발파 및 항타진동이 지질과의 상관함으로서 관계를 파악하여 더욱 안전하고 경제성 있는 진동설계를 위한 기초자료를 제공함으로 서 현장기술자들이 측정된 진동 자료를 이용하여 진동 추정식을 만들 때 발생하는 오차를 최소화시키고 적합도(＝결정계수, $R^2$)가 비교적 높은 진동 추정식에 대한 상관성을 구하며, 또한 이에 따른 건설소음 및 비산먼지 측정자료의 통계적 처리방안에 대한 연구에 그 목적이 있다.(중략)

• Tunnel and Underground Space
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• v.23 no.3
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• pp.212-218
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• 2013

Tuff specimens were thermally treated with predetermined temperatures of 200, 400 and $600^{\circ}C$ to construct specimens simulating weathered tuff rocks. Specific gravity, absorption ratio, elastic wave velocity, uniaxial compressive strength, Brazilian tensile strength, Young's modulus, Poisson's ratio and slake-durability index were measured for pre-heated specimens. Heating of rock specimens entailed the degradation of material properties except for slake-durability index. It was found that correlations among P-wave velocity, uniaxial compressive strength, Brazilian tensile strength, Young's modulus and absorption ratio are high. Regression equations which use the P-wave velocity as an independent variable were presented to evaluate uniaxial compressive strength, Brazilian tensile strength, Young's modulus and absorption ratio.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.539-544
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• 2023

The subject of this study is the Maae Buddha statue in granodiorite of the Mesozoic Cretaceous period, which is concerned about stability as a standing stone cultural property located in ◯◯-dong, Gyeongsangbuk-do. For stability analysis, three-dimensional face mapping, geological properties of joints, three-dimensional scanning, ultrasonic velocity, polarization microscopy, electron microscopy analysis and XRD analysis were performed. In addition, the safety factor of the Maaebul was calculated by analyzing the damage status investigation, stereographic projection analysis, rock classification, and limit equilibrium analysis. The types and scales of damage and possible collapse by section depend on the degree of weathering of the rock and the orientation and characteristics of the joints, but wedge-failure and toppling-failure are expected to be small-scale. The safety factor of Maaebul in dry and wet conditions is less than 1.2, so stability is concerned. The types of damage were mainly observed, such as exfoliation, cracking, granular decomposition, and vegetation growth. The Maaebul rock is granodiorite, and the surface discoloration materials are K, Fe, and Mg. The 4 sets of joints are developed, J1 is tensile joint and the others are shear joint. The uniaxial compressive strength estimated by ultrasonic exploration is 514kgf/cm2, which corresponds to most soft rocks and some weathered rocks. Rock classification(RMR) is estimated to be grade 5, very poor rock mass. These technique along with the existing methods of safety diagnosis of cultural properties are expected to be a reasonable tool for objective interpretation and stability review of stone cultural properties.

• Tunnel and Underground Space
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• v.22 no.4
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• pp.266-275
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• 2012

In this study, a method is devised to implement a supercritical $CO_2$ ($scCO_2$) injection environment on a laboratory scale and to investigate the effects of $scCO_2$ on the properties of rock specimens. Specimens of shale and sandstone normally constituting the cap rock and reservoir rock, respectively, were kept in a laboratory reactor chamber with $scCO_2$ for two weeks. From this stage, a chemical reaction between rock surface and the $scCO_2$ was induced. The effect of saline water was also investigated by comparing three conditions ($scCO_2$-rock, $scCO_2-H_2O$-rock and $scCO_2$-brine(1M)-rock). Finally, we checked the changes in the properties before and after the reaction by destructive and nondestructive testing procedures. The swelling of shale was a main concern in this case. The experimental results suggested that $scCO_2$ has a greater effect on the swelling of the shale than pure water and brine. It was also observed that the largest swelling displacement of shale occurred after a reaction with the $H_2O-scCO_2$ solution. The results of a series of the destructive and nondestructive tests indicate that although each of the property changes of the rock differed depending on the reaction conditions, the $H_2O-scCO_2$ solution had the greatest effect. In this study, shale was highly sensitive to the reaction conditions. These results provide fundamental information pertaining to the stability of $CO_2$ storage sites due to physical and chemical reactions between the rocks in these sites and $scCO_2$.

• Journal of Korean Tunnelling and Underground Space Association
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• v.14 no.4
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• pp.357-374
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• 2012

Considerable uncertainties are included in ground properties used for tunnel designs due to the limited investigation and tests. In this study, a back analysis was performed to find optimal ground properties based on artificial neural network using both face mapping data and convergence measurement data. First of all, the rock class of a study tunnel is determined from face mapping data. Then the possible ranges of ground properties were selected for each rock class through a literature review on the previous studies and utilized to establish more precise learning data. To find an optimal training model, a sensitivity analysis was also conducted by varying the number of hidden layers and the number of nodes more minutely than the previous study. As a result of this study, more accurate ground properties could be obtained. Therefore it was confirmed that the accuracy of the results could be increased by making use of not only convergence measurement data but also face mapping data in tunnel back analyses using artificial neural network. In future, it is expected that the methodology suggested in this study can be used to estimate ground properties more precisely.

• Geophysics and Geophysical Exploration
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• v.7 no.3
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• pp.174-183
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• 2004

The knowledge of rock strength is important in assessing wellbore stability problems, effective sanding, and the estimation of in situ stress field. Numerous empirical equations that relate unconfined compressive strength of sedimentary rocks (sandstone, shale, and limestone, and dolomite) to physical properties (such as velocity, elastic modulus, and porosity) are collected and reviewed. These equations can be used to estimate rock strength from parameters measurable with geophysical well logs. Their ability to fit laboratory-measured strength and physical property data that were compiled from the literature is reviewed. While some equations work reasonably well (for example, some strength-porosity relationships for sandstone and shale), rock strength variations with individual physical property measurements scatter considerably, indicating that most of the empirical equations are not sufficiently generic to fit all the data published on rock strength and physical properties. This emphasizes the importance of local calibration before one utilizes any of the empirical relationships presented. Nonetheless, some reasonable correlations can be found between geophysical properties and rock strength that can be useful for applications related to wellhole stability where haying a lower bound estimate of in situ rock strength is especially useful.

• Tunnel and Underground Space
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• v.19 no.3
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• pp.203-212
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• 2009

The prediction of near field behavior around an underground high-level radioactive waste repository is important for the repository design as well as the safety assessment. In this study, a sensitivity analysis for seven parameters consisted of design parameters and material properties was carried out using a three-dimensional finite difference code. From the sensitivity analysis, it was found that the effects of borehole spacing, tunnel spacing, cooling time and rock thermal conductivity were more significant than the other parameters. For getting a statistical distribution of buffer and rock temperatures around the repository, an artificial neural network, backpropagation, was applied. The reliability of the trained neural network was tested with the cases with randomly chosen input parameters. When the parameter variation is within ${\pm}10%$, the prediction from the network was found to be reliable with about a 1% error. It was possible to calculate the temperature distribution for many cases quickly with the trained neural network. The buffer and rock temperatures showed a normal distribution with means of $98^{\circ}C$ and $83.9^{\circ}C$ standard deviations of $3.82^{\circ}C$ and $3.67^{\circ}C$, respectively. Using the neural network, it was also possible to estimate the required change in design parameters for reducing the buffer and rock temperatures for $1^{\circ}C$.