Correlation of in situ modulus of deformation with degree of weathering, RMR and Q-system

Kang, Seong-Seung; Kim, Hyo Yeol; Jang, Bo-An

doi:10.1007/s12665-012-2088-y

Cited by 21 publications

(4 citation statements)

References 3 publications

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“…At the same time, a program automatically processes the collected basic information and directly gives the rock mass quality evaluation results of each set of information according to the relevant classification methods. e correlation between RMR and BQ is analyzed and discussed on the basis of engineering example [34][35][36]. Finally, a threedimensional model of rock mass classification is established based on the distance power-inverse ratio method.…”

Section: Introductionmentioning

confidence: 99%

Joint Investigation and 3D Visual Evaluation of Rock Mass Quality

Yuan

Chen

Wang

et al. 2020

Advances in Civil Engineering

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In order to realize the high efficiency quality classification and three-dimensional visualization of engineering rock mass and to solve the technical difficulties of the traditional rock mass quality evaluation method such as high labor intensity, long process time consumption, many intervention processes such as scale measurement and manual calculation, and nonintuitive classification results, this paper puts forward a 3D visual rock mass quality evaluation method and system based on close-range photography, which optimizes the traditional rock mass quality evaluation method, makes the rock mass classification three-dimensional and visible, and realizes the estimation of unrevealed rock mass quality evaluation index. The research results show the following: (1) The method of storing joint information by close-range photography and extracting joint information by human-computer interaction improves the working efficiency and the process is safe and controllable compared with the traditional method of collecting fracture parameters. (2) Based on the statistical analysis of 97 groups of roadway survey data, the comprehensive statistical regression formula between BQ value of Chinese national standard and RMR value is given, and there is a good correlation between BQ value and RMR value of rock mass quality index. (3) Based on the power-inverse ratio method, the three-dimensional model of rock mass classification of the mine was established, and the cutting model obtained the current distribution diagram of rock mass quality grade, providing scientific reference for drilling, blasting, support, and other production design optimizations.

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Section: Introductionmentioning

confidence: 99%

Joint Investigation and 3D Visual Evaluation of Rock Mass Quality

Yuan

Chen

Wang

et al. 2020

Advances in Civil Engineering

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“…In South Korea, weathered granite layers are found not only at the ground surface of ancient mountains and hills, but also underlying artificial fill layers or alluvial layers on plains (Sun et al 2005). The decomposed granite layer, as one of the representative geotechnical layers (geo-layers) of the Korean Peninsula (Sun et al 2006), has been studied by geotechnical engineers seeking to quantify the engineering characteristics and apply them to geotechnical design (Antonie et al 1995;Kang et al 2013;Ozcan et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Geotechnical comparison of weathering degree and shear wave velocity in the decomposed granite layer in Hongseong, South Korea

et al. 2015

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As part of a fundamental characterization of a subsurface layer in South Korea, the weathering degree and shear wave velocity (V S ) were evaluated in a decomposed granite in Hongseong, using X-ray fluorescence analyses and site investigations, including borehole drilling with standard penetration test (SPT) and in situ seismic tests. The subsurface layer was composed of a weathered layer 10-40 m thick at most sites. Weathering degree analyses indicated that three chemical weathering indices, the modified weathering potential index (MWPI), Vogt ratio (VR), and weathering index of Parker (WIP), generally increased with decreasing depth. In situ seismic tests revealed that V S ranged between 200 and 500 m/s in the weathered layer. Using the V S and N values from the SPT at borehole seismic testing sites, correlations between V S and N values were established for the weathered layer. Furthermore, examination of the relationships of the V S and N values with the MWPI, WIP, and 100/VR indices showed that the index values increased linearly with increasing V S and exponentially with increasing N values.

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“…Different researchers suggested several empirical equations for estimating the E m based on the values of RMR, Q, RMi and GSI. These empirical equations have been used by designers to estimate the deformation modulus of rock masses (Rashed and Sediek, 1997;Gurocak et al, 2008;Alemdag et al, 2008Alemdag et al, , 2014Kaya et al, 2011;Gurocak and Alemdag, 2012;Kang et al, 2012;Chai et al, 2013;Zhang et al, 2014;Alemdag, 2015;Karaman et al 2015). One of the major difficulties in using the existing empirical equations arises from the fact that different results are obtained by using these empirical equations.…”

Section: Introductionmentioning

confidence: 99%