• Title/Summary/Keyword: 암반분류

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Analysis of Whole Tunnel Stability by Using Rock Mass Classification and Mohr-Coulomb Analytical Solution (암반분류와 Mohr-Coulomb 이론해를 이용한 터널 전구간 안정성 분석)

  • Jung, Yong-Bok;Park, Eui-Seob;Ryu, Dong-Woo;Cheon, Dae-Sung
    • Tunnel and Underground Space
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    • v.23 no.4
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    • pp.280-287
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    • 2013
  • Finite element or difference methods are applied to the analysis of the tunnel stability and they provide detailed behaviour of analyzed tunnel sections but it is rather inefficient to analyze all the section of tunnel by using these methods. In this study, the authors suggest a new stability analysis method for whole tunnel to provide an efficient and easy way to understand the behaviour of whole tunnel by using an analytical solution with the assumption of equivalent circular tunnel. The mechanical behaviour, radial strain and plastic zone radius of whole tunnel were analyzed and appropriate support pressure to maintain the displacement within the allowable limit was suggested after the application of this method to the tunnel. Consequently, it was confirmed that this method can provide quick analysis of the whole tunnel stability and the quantitative information for subsequent measures such as selection of tunnel sections for detailed numerical analysis, set up of the monitoring plan, and so on.

Pearson-type Chi-square Test on the Joint Orientations from Different Depths in Boreholes (시추공 영상자료와 카이제곱 검정을 이용한 절리 방향성의 수직적 변화양상에 관한 정량적 평가)

  • Kim, Ki-Seog;Park, Young-Do;Park, Yeon-Jun
    • Tunnel and Underground Space
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    • v.18 no.3
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    • pp.185-193
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    • 2008
  • We have carried out Pearson-type chi-square tests on the orientation data of joints from different depths in order to estimate the homogeneity of joint orientations obtained from a borehole. The orientation data of joints were collected from two non-foliated massive rocks of granitic gneisses in South Korea since orientations of joints in folded metamorphic rocks, for example, are controlled by foliation and also changes as the orientations of foliation change by folding. Borehole images were used for the analysis of the orientations of individual joints. The orientation data were subdivided into the upper level data and lower level data. The data from these two levels are plotted on the patch net consisting of 21 orientation patches. Then, the two patterns on the patch net were analyzed using a contingency table. From the chi-square test on the data collected from two sites, we found that some data sets show statistically meaningful differences in orientations of joints. Since joints are one of the important parameters in determining the physical properties of rock masses, in situ investigation of joints are desirable in the geotechnical investigation and also in design of subsurface structures (e.g. tunnels and underground storages).

Suggestion of Regression Equations for Estimating RMR Factor Rating by Geological Condition (지질 조건을 고려한 RMR 인자값 추정을 위한 선형회귀식 제안)

  • Kim, Kwang-Yeom;Yim, Sung-Bin;Kim, Sung-Kwon;Kim, Chang-Yong;Seo, Yong-Seok
    • The Journal of Engineering Geology
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    • v.17 no.4
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    • pp.555-566
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    • 2007
  • In general, RMR classification system is used for the support design of a tunnel. Face mapping during excavation and RMR-based rock classifications are conducted in order to provide information for complementary changes to preliminary survey plans and for continuous geological estimations in direction of tunnel route. Although they are ever so important, there are not enough time for survey in general and sometimes even face mapping is not available. Linear regression analysis for the estimation of mediating RQD and condition of discontinuities, which require longer time and more detailed observation in RMR, was performed and optimum regression equations are suggest as the result. The geological data collected from tunnels were analyzed in accordance with three rock types as sedimentary rock, phyllite and granite to see geological effects, generally not been considered in previous researches. Parameters for the regression analysis were set another RMR factor.

A numerical study of the influence of rock mass classes boundary on tunnel stability (암반 등급 경계가 터널 안정성에 미치는 영향에 관한 수치해석적 연구)

  • Kim, Gyeomyeon;Jung, Chanmook;Lee, Yongjun
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.21 no.6
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    • pp.825-835
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    • 2019
  • When the tunnel is designed, the ground is classified into several grades and the corresponding support system is applied according to the support pattern table. However, a simple pattern application based on rock grade does not take into account the longitudinal stress transitions occurring at rock grade boundaries. In this study, three-dimensional numerical analysis was performed to estimate the stress change in the longitudinal rock grade change of NATM tunnel, and the influence zone of load transfer was investigated using the influence line and trend line. As a result, the downward change of rock grade in the direction of tunnel excavation occurs in the range of 0.35~0.7D from low-strength rock to high-strength rock around the grade change boundary. It is necessary to apply a downward pattern of about 1.0D to the safety direction in consideration of the influence range of 0.35D to 0.7D.

An Analysis of Artificial Intelligence Algorithms Applied to Rock Engineering (암반공학분야에 적용된 인공지능 알고리즘 분석)

  • Kim, Yangkyun
    • Tunnel and Underground Space
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    • v.31 no.1
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    • pp.25-40
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    • 2021
  • As the era of Industry 4.0 arrives, the researches using artificial intelligence in the field of rock engineering as well have increased. For a better understanding and availability of AI, this paper analyzed the types of algorithms and how to apply them to the research papers where AI is applied among domestic and international studies related to tunnels, blasting and mines that are major objects in which rock engineering techniques are applied. The analysis results show that the main specific fields in which AI is applied are rock mass classification and prediction of TBM advance rate as well as geological condition ahead of TBM in a tunnel field, prediction of fragmentation and flyrock in a blasting field, and the evaluation of subsidence risk in abandoned mines. Of various AI algorithms, an artificial neural network is overwhelmingly applied among investigated fields. To enhance the credibility and accuracy of a study result, an accurate and thorough understanding on AI algorithms that a researcher wants to use is essential, and it is expected that to solve various problems in the rock engineering fields which have difficulty in approaching or analyzing at present, research ideas using not only machine learning but also deep learning such as CNN or RNN will increase.

Comparison of Seismic Velocity and Rock Mass Rating from in situ Measurement (현장 실험을 통한 암반 탄성파 속도와 암반평가 인자 비교)

  • Lee, Kang Nyeong;Park, Yeon Jun;Kim, Ki Seog
    • Tunnel and Underground Space
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    • v.28 no.3
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    • pp.232-246
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    • 2018
  • In this study, the relationship between in situ seismic wave velocities and RMR (rock mass rating) was investigated in a test bed for the examination of the basis of rock classification (RMR) based on seismic wave velocity. The seismic wave velocity showed a monotonous increase with depth. It was also found that there was no systematic correlation between the seismic wave velocity (Vp) and other parameters (RQD, joint spacing, UCS, rock core Vp, and RMR) collected at the same depth of the same borehole. However, correlative relation was observed among RMR, RQD, and joint spacing. On the other hand, when all the data in the borehole (three holes) are examined without considering the depth, Vp still shows no correlation with RMR parameters (e.g., correlative coefficient for uniaxial compressive strength and joint spacing are 0.039 and 0.091, respectively), but Vp shows weak correlative relation with RMR and RQD (correlative coefficient for RQD and RMR are 0.193 and 0.211, respectively). Thus, it is found that it is difficult to deduce physical properties of rock mass directly from seismic wave velocities, but the seismic wave velocity can be used as a tool to approximate rock mass properties because of weaker correlation between Vp and RMR with RQD. In addition, the velocity value of for soft and moderate rocks suggested by widely used construction standards is slower than that of the observed velocity, implying that the standards need to be examined and revised.

A Study on the Derivation of Powder factor for Tunnel Blast Design Based on Blastability Evaluation (현지 암반의 발파특성 평가를 통한 발파 설계인자 도출에 관한 연구)

  • Lim Kyung-Ho;Kim Joon-Youp;Lim Dae-Kyu;Shin Young-Chul
    • Explosives and Blasting
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    • v.23 no.3
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    • pp.75-82
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    • 2005
  • Many blasting engineers develope their own approach to define how to blast different rockmass properties. The problem is that most of these approaches haven't been formalized in any systematic manner and they depend mainly on casual observation of local conditions by an experienced blaster. In this paper blastability index developed by Lilly is adopted to induce powder factor for blast design considering local conditions. With this approach blastability scheme can be considered joint properties as well as rockmass represented local conditions. This approach is also expected to supplement the shortcomings of existing blast design approaches.