• Title/Summary/Keyword: RMR 분류법

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A Study on Rock Mass Rating system(RMR) and Modified Method (RMR 분류방법 및 수정 방법의 고찰)

  • 허종석
    • Proceedings of the Korean Geotechical Society Conference
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    • 2003.06b
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    • pp.51-64
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    • 2003
  • Bieniawski에 의해 개발된 RMR은 암석강도 및 불연속면, 지하수 등의 6개 인자에 따라 분류되어, 이들을 합산하여 결정된다. RMR 분류법은 각 요소들에 대한 평가가 비교적 쉽고, 다양한 응용을 거쳐 여러 분야에 적용되어 국내에서도 가장 널리 사용하고 있는 암반분류 방법 중의 하나이다. RMR 분류결과는 터널의 유지시간, 최대 무지보폭의 예측, 지보량 산정, 암반의 물리적 특성값 예측 등에 적용될 수 있다. 또한 RMR 분류법을 사면안정, 댐 기초, 심부 광산 등에 적용하거나, RMR 분류법의 미비한 부분을 보완하기 위한 여러 가지 수정방법이 제시되었다.

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A Suggestion of In-situ Rock Mass Evaluation and Correlation between Rock Mass Classfication Methods (현장암반 평가에 관한 제안 및 암반분류법들간의 상관관계 고찰)

  • Kim, Hong-Pyo;Chang, Ho-Min;Kang, Choo-Won;Ko, Chin-Surk
    • Explosives and Blasting
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    • v.28 no.2
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    • pp.133-147
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    • 2010
  • A Suggestion of In-situ Rock Mass Evaluation and Correlation between Rock Mass Classfication MethodsThe purpose of this study is to find out rock mass classification method which is practically applicable to a field and to consider a correlation between the new method and the old method. Rock mass is an aggregate of separated blocks. To express the aggregate, the properties of both intact rock and rock mass should be considered. In this study, therefore, parameters for rock mass description are classified into rock strength and rock structure. Indices for parameters evaluation are obtained from old method and the strength and structure property of rock is described by using those indices. Value of 25 is allocated to each parameter obtained. $RMR_{basic}$ =0.86(X=Method)+14.47 is derived between $RMR_{basic}$ and this study and $RMR^*$ = 0.87(X-Method)+9.20 is derived between revised RMR and this study. Coefficient of determination is $R^2$=0.841 and $R^2$=0.846 each.

Evaluating the Stability of Large-scale Gangways Mined in a Limestone Mine Using Rock Classification Schemes (암반분류법을 이용한 석회석 광산 내 대규격 갱도의 안정성 평가)

  • Yoon, Yong-Kyun;Lee, Hong-Woo
    • Tunnel and Underground Space
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    • v.17 no.6
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    • pp.503-510
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    • 2007
  • Rock classification schemes such as RMR, Q-system were applied to investigate the stability of large-scale gangways mined in a limestone mine. 22 areas for engineering geological surveys were selected and rock classifications at each survey point had been carried out. Considering the fact that the observed gangways have not experienced some severe failure and have been stably maintained till now, it is found that Q-system is more reasonable than RMR in evaluating the stability of unsupported span. Also, extended Mathews stability graph method which is a kind of revised Q-system was used to assess the stability of gangways and the results represent that all gangways except for one area are under stable condition. Based on above the mentioned results, the empirical equations to design the maximum unsupported span and critical height of a large-scale gangway are suggested.

Analysis of Acquaintance Relations Between Parameters of RMR and Q Rock Mass Classification System (RMR 및 Q 암반분류법의 평가 요소간 친숙도 관계 분석)

  • Synn, Joong-Ho;Park, Chul-Whan;SunWoo, Choon
    • 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.

A Study on the Characteristics of Rock Mass by GSI in Limestone Mine (석회석 광산에서의 GSI 분류법에 의한 암반특성연구)

  • ;Kaynnam U. M. Rao
    • Tunnel and Underground Space
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    • v.14 no.2
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    • pp.86-96
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    • 2004
  • Rock mass classification methods such as RMR, Q system and GSl have been widely adopted with certain modifications for the design of mine openings. The GSI system is the only rock mass classification system that is related to Mohr-Coulomb and Hoek-Brown strength parameters and gives a simple method to calculate the engineering properties of rock masses which can be useful input parameters for a numerical analysis. A detailed surveying for GSI mapping as well as far calculating RMR values was undertaken at Daesung and Pyunghae underground limestone mining sites. RQD values were determined for row locations in these two mining sites. Based on GSI values and intact rock strength properties, the rock mass strength modulus of elasticity as well as the Mohr-Coulomb strength parameter c$_{m}$ and $\phi$$_{m}$ were determined. GSI and RMR are correlated.

A Study on the Uncertainty of the Classification of Rook Mass Rating (RMR 암반분류법의 불확정성에 관한 연구)

  • Lee Sang-Eun;Jun Sung-Kwon;Kang Sang-Jin
    • Tunnel and Underground Space
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    • v.15 no.6 s.59
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    • pp.441-451
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    • 2005
  • It is the unavoidable problem that the RMR rock classification method has the uncertainty resulted from uncertain definition of measured value in RMR grade table, hence in this paper, the estimation of probability density function$(p{\cdot}d{\cdot}f)$ graph with the evaluation of continuos RMR and the Monte Carlo Simulation and statistic reasoning were carried out to evaluate the uncertainty quantitatively. Also, the modified RMR rock classification table was presented in order to apply the uncertainty of RMR to the practice, and then the design process of standard support pattern and the tunnel support material was proposed.

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.

Quantification Method of Tunnel Face Classification Using Canonical Correlation Analysis (정준상관분석을 이용한 막장등급평가 수량화기법 연구)

  • Seo Yong-Seok;Kim Chang-Yong;Kim Kwang-Yeom;Lee Hyun-Woo
    • The Journal of Engineering Geology
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    • v.15 no.4 s.42
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    • pp.463-473
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    • 2005
  • Because of using the same rating ranges for every rock types the RMR or the Q-system could not usually consider local geological characteristics They also could not present sufficiently the engineering anisotropy of rocks. The canonical correlation analysis was carried out with 3 kinds of face mapping data obtained from granite, sedimentary rock and phyllite in order to clarify a discrepancy between rock types. According to analysis results, as a type of rocks changes, RM factors have different influences on the total rating of RMR.

암석역학 전문가 시스템(ROMES)에 의한 암반분류 연구

  • 양형식;김남수;이희근;김호영
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 1995.03a
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    • pp.181-185
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    • 1995
  • 현재 구미에서 터널의 설계에는 RMR, Q와 같은 암반분류 기법과 경계요소 해석법과 같은 간략한 탄성 프로그램에 경험적 파괴조건식을 적용하여 이완대를 계산하고 터널의 지보량을 추정하는 방식이 널리 적용되고 있다. RMR이나 Q와 같은 암반분류법은 지하공동의 안정성에 영향을 미치는 중요한 지질 요인들에 근거하여 암반을 몇가지 등급으로 분류하고 지보방법을 결정하는 분류 방식으로 가장 많이 사용되고 있으나 각 항목의 평가방식이 경험적인 판단을 요하게 되어 주관적인 오류에 빠질 가능성이 많고, 또 여러 가지 대체 수단이 있어 종합적인 판단을 얻기가 용이하지가 않다. (중략)

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Comparison of Rock Mass Classification Methods (암반등급 분류법들의 비교연구)

  • Park Chul-Whan;Park Chan;Synn Joong-Ho
    • Tunnel and Underground Space
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    • v.16 no.3 s.62
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    • pp.203-208
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    • 2006
  • This report is to introduce an article to compare 3 kinds of methods as RMR, Q-system and RMi published in Tunnel and Tunnelling Technology 2003. As rock mass classification is applied to estimate the amount of the support as an empirical design method, an attempt has been made to evaluate the parameters for classifications and their variations by Professor Nilsen and his team in Norway. Representability and reproducibility in measuring the field parameters are discussed and sensitivity of rating values in the three methods is also analyzed in this research. Although some parameters have high variation in rating among the 5 observers, the rock mass class has been found to be quite similar.