• Title/Summary/Keyword: 암반분류

Search Result 290, Processing Time 0.022 seconds

A Study on the Characteristics of Tunnel Based on the Rock Mass Classification (암반분류법에 근거한 터널 특성 연구)

  • Lee Song;Ahn Tae-Hun
    • Journal of the Korean Geotechnical Society
    • /
    • v.21 no.3
    • /
    • pp.19-25
    • /
    • 2005
  • A tunnel that uses the RMR method or the Q-system is called a 'modem tunnel' because the New Austrian Tunneling Method (NATM) is not employed, even though shotcrete and rock bolts are used as support. It is known that the modem tunnel, which is supported by shotcrete, is basically different from the conventional tunnel, which is supported by steel ribs. In order to preserve the load-carrying capacity of the rock mass, loosening and excessive rock deformations must be minimized. Although it is known that this can be achieved by applying shotcrete in the case of the modem tunnel, this has not been clearly demonstrated. In order to inspect the distinctions between the conventional tunnel and the modern tunnel, their support characteristics and the rock loads of the rock mass classifications are compared. Terzaghi's rock load classification was used as the conventional tunnel's representative rock mass classification. The RMR method and the Q-system were adopted as the modem tunnel's representative rock mass classification. The study's results show that the load-carrying capacity of shotcrete, when used as the main support in the modern tunnel, is greater than the load-capacity of the steel ribs used in the conventional tunnel. Because it has been verified that the rock loads of their rock mass classifications are not different, then, according to the rock mass classifications, the load-carrying capacity of the rock mass of the modern tunnel, which uses shotcrete, is not greater than that of the conventional tunnel.

NATM시공 산악터널에서 암반분류 및 계측에 의한 지보공 선정 사례연구

  • 김영근;장정범;정한중
    • Proceedings of the Korean Society for Rock Mechanics Conference
    • /
    • 1996.03a
    • /
    • pp.25-34
    • /
    • 1996
  • 터널은 긴 선상구조물로서 사전지질조사에 의해 설계에 필요한 정보를 정밀도 높게 구하는 것이 매우 어렵다. 따라서 터널시공 중 암반 및 지질상황을 관찰하고, 터널주변 지반의 거동을 계측하여 지반에 적합한 지보공을 설계ㆍ시공하는 것이 필수적이다. 이를 위해서 터널시공 중 정량적인 암반분류와 계측(일상관리계측과 대표단면계측)이 주기적으로 실시되고 있지만, 이러한 결과를 어떻게 시공에 반영하느냐는 터널의 합리적인 시공에 있어 매우 어려우면서도 중요한 문제라 할 수 있다. (중략)

  • PDF

Rock Quality using Seismic Tomography in Deep Tunnel Depths (대심도 탄성파 토모그래피 탐사를 이용한 암반분류)

  • Koo, Ja-Kab;Kim, Young-Duck;Kwon, So-Jin
    • Journal of the Korean GEO-environmental Society
    • /
    • v.3 no.3
    • /
    • pp.5-13
    • /
    • 2002
  • In tunnel design, geotechnical survey of over 200m tunnel depth is required because of its characteristical topography. For this reason, there are difficulties in collecting information of basic data in tunnel design because of large-scale costs in borehole tests, of limits to a geotechnical analysis by the existing refraction seismic survey and of analytical errors in steep mountainous area. Seismic tomography has many advantages as follows; 1) seismic velocity as absolute value is more reliable than electrical resistivity, 2) geotechnical analysis in deep tunnel depth is available by seismic velocity, 3) analytical errors is reduced in steep mountainous area. In this paper, it was found out a correlation of seismic velocity and Q in tunnel design in the neighborhood of the National Capital region and the reduction effect of tunnel construction cost using reliable rock quality by seismic tomography compared with by borehole data and electricity resistivity data.

  • PDF

지질공학적으로 암석과 암반의 풍화강도를 분류하는 방법

  • 이수곤
    • Explosives and Blasting
    • /
    • v.8 no.4
    • /
    • pp.30-43
    • /
    • 1990
  • 본고는 현존하는 암석과 암반의 풍화분류방법에 대한 고찰 및 이러한 방법들을 실제로 우리나라의 토목현장에 적용할 경우 발생되는 여러 가지 문제점을 서술하고, 이에 따른 문제점 극복을 위해 우리나라의 여건에 맞도록 암석 및 암반의 풍화상태를 조사 기술하므로서 각종 토목공사에서 보다 유용하게 사용할 수 있는 풍화분류방법을 제시한다.

  • PDF

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
    • /
    • v.14 no.2
    • /
    • pp.86-96
    • /
    • 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.

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
    • /
    • v.18 no.6
    • /
    • pp.408-417
    • /
    • 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 Correlation Between the Result of Electrical Resistivity Survey and the Rock Mass Classification Values Determined by the Tunnel Face Mapping (전기비저항탐사결과와 터널막장 암반분류의 상관성 검토)

  • Choi, Jai-Hoa;Jo, Churl-Hyun;Ryu, Dong-Woo;Kim, Hoon;Oh, Byung-Sam;Kang, Moon-Gu;Suh, Baek-Soo
    • Tunnel and Underground Space
    • /
    • v.13 no.4
    • /
    • pp.279-286
    • /
    • 2003
  • Many trials to set up the correlation between the rock mass classification and the earth resistivity have been carried out to design tunnel support type based on the interpreted electrical resistivity acquired by surface electrical survey. But it is hard to find reports on the comparison of the real rock support type determined during the excavation with the electrical resistivity by the inversion of the survey data acquired before the tunneling. In this study, the rock mass classification based on the face mapping data and the resistivity inversion data are investigated to see if it is possible to design reliably the rock support type based on the surface electrical survey. To get the quantitative correlation, rock engineering indices such as RCR(rock condition rating), N(Rock mass number), Q-system and RMR(rock mass rating) are calculated. Since resistivity data has low resolution, Kriging method as a post processing technique which minimizes the estimated variance is used to improve resolution. The result of correlation analysis shows that the 2D electrical resistivity survey is appropriate to see the general trend of the geology in the sense of rock type, though there might be some local area where these two factors do not coincide. But the correlation between the result of 3D survey and the rock mass classification turns out to be very high, and then 3D electrical resistivity survey can make it possible to set up more reliable rock support type.

Rock Mass Rating for Korean Tunnels Using Artificial Neural Network (인공신경망을 이용한 한국형 터널 암반분류)

  • 양형식;김재철
    • Tunnel and Underground Space
    • /
    • v.9 no.3
    • /
    • pp.214-220
    • /
    • 1999
  • In this study, the validity of items of RMR system is evaluated and the applicability of this system to the data measured in Korean sites if discussed. Database was constructed from 139 sites, which are composed of subways, railway tunnels and road tunnels. These sites are located nationwide. Analysis shows that original classification of Bieniawski is valid although it was derived empirically. But it has considerable rating difference (error) in the result of Korean application. Thus new classification systems of KRMRI and KRMR2 are suggested, which are deduced from the Korean database. The former includes adjusted ratings and the latter adopts two more items. These are deduced by artificial neural network because it is difficult to select \`characteristic value'to estimate rock quality.

  • PDF

Supporting The Tunnel Using Digital Photographic Mapping And Engineering Rock Classification (디지털 사진매핑에 의한 공학적 암반분류와 터널의 보강)

  • Kim, Chee-Hwan
    • Tunnel and Underground Space
    • /
    • v.21 no.6
    • /
    • pp.439-449
    • /
    • 2011
  • The characteristics of rock fractures for engineering rock classification are investigated by analyzing three dimensional point cloud generated from adjusted digital images of a tunnel face during construction and the tunnel is reinforced based on the supporting pattern suggested by the RMR and the Q system using parameters extracted from those images. As results, it is possible saving time required from face mapping to tunnel reinforcing work, enhancing safety during face mapping work in tunnels and reliability of both the mapping information and selecting supporting pattern by storing the files of digital images and related information which can be checked again, if necessary sometime in the future.

Technical Development for Extraction of Discontinuities in Rock Mass Using LiDAR (LiDAR를 이용한 암반 불연속면 추출 기술의 개발 현황)

  • Lee, Hyeon-woo;Kim, Byung-ryeol;Choi, Sung-oong
    • Tunnel and Underground Space
    • /
    • v.31 no.1
    • /
    • pp.10-24
    • /
    • 2021
  • Rock mass classification for construction of underground facilities is essential to secure their stabilities. Therefore, the reliable values for rock mass classification from the precise information on rock discontinuities are most important factors, because rock mass discontinuities can affect exclusively on the physical and mechanical properties of rock mass. The conventional classification operation for rock mass has been usually performed by hand mapping. However, there have been many issues for its precision and reliability; for instance, in large-scale survey area for regional geological survey, or rock mass classification operation by non-professional engineers. For these reasons, automated rock mass classification using LiDAR becomes popular for obtaining the quick and precise information. But there are several suggested algorithms for analyzing the rock mass discontinuities from point cloud data by LiDAR scanning, and it is known that the different algorithm gives usually different solution. Also, it is not simple to obtain the exact same value to hand mapping. In this paper, several discontinuity extract algorithms have been explained, and their processes for extracting rock mass discontinuities have been simulated for real rock bench. The application process for several algorithms is anticipated to be a good reference for future researches on extracting rock mass discontinuities from digital point cloud data by laser scanner, such as LiDAR.