Assessing the relative stability of the Mogao Grottoes using a rock mass quality classification approach

2015 ◽  
pp. 261-268
Keyword(s):  
Rock Mass ◽  
Relative Stability ◽  
Classification Approach ◽  
Rock Mass Quality ◽  
Mogao Grottoes ◽  
Quality Classification ◽  
Rock Mass Quality Classification

Control Function of Corrosion of Calcareous Sandstone over Rock Mass Quality in One Hydroelectric Station on the Jinsha River

2014 ◽  
Vol 580-583 ◽  
pp. 847-850
Author(s):  
Shu Qiang Lu ◽  
Peng Zhu
Keyword(s):  
Rock Mass ◽  
Control Function ◽  
Electrical Power ◽  
Hydroelectric Station ◽  
Power Station ◽  
Jinsha River ◽  
Rock Mass Quality ◽  
Quality Classification ◽  
Electrical Power Station ◽  
Rock Mass Quality Classification

The hydro-electrical power station is planned to be built on the Jinsha River. The regional geologic structure is complex. On the basis of the geological engineering conditions and rock mass quality classification, the change of wave velocity of rock mass is used to analyze systematically the control function of corrosion of calcareous sandstone over rock mass quality. The modificatory standard of rock mass quality classification and the system of rock mass quality classification in the hydroelectric station have been carried out. The main results can be taken as the basic data and the theoretical proofs to evaluate the engineering rock mass stability.

scholarly journals Application Research Of 3D Digital Evaluation And Analysis Method In Geological Engineering

2021 ◽  
Author(s):  
Gao Jing ◽  
Zhou Weibo ◽  
Li Shuwu ◽  
Li Changhu ◽  
Wang Xiaobing
Keyword(s):  
Rock Mass ◽  
Engineering Geology ◽  
Hydropower Station ◽  
Analysis Method ◽  
3D Geological Modeling ◽  
Geological Engineering ◽  
Rock Mass Quality ◽  
Quality Classification ◽  
Digital Evaluation ◽  
Rock Mass Quality Classification

Abstract In order to adapt to the construction and development of informatization and digitization of engineering survey industry, a method of rock mass quality classification based on 3D geological modeling analysis is proposed. Based on a hydropower station as an example, this paper build a refinement 3D geological visualization model, simulate and analysis engineering geology of the hydropower station from the perspective of the three-dimensional digital. According to features of rock mass damage and elastic-plastic mechanics of dissipation energy principle, which gives the optimize evaluation index and method of rock mass quality classification in water resources and hydropower engineering, endowed with classification attribute values of each level and restructured model shows the spatial distribution characteristics of rock mass quality. In conclusion, this method improves the efficiency and intuitiveness of the engineering geology analysis and engineering rock mass quality classification. Furthermore, the 3D digital evaluation method was verified more rationality and intuitiveness in geological engineering comparing with traditional 2D geological analysis method.

scholarly journals Integration of homogeneous structural region identification and rock mass quality classification

2019 ◽  
Vol 6 (1) ◽  
pp. 181353
Author(s):  
Qingfa Chen ◽  
Tingchang Yin
Keyword(s):  
Rock Mass ◽  
Network Model ◽  
Cross Sections ◽  
Three Dimensional ◽  
Three Dimensions ◽  
A Value ◽  
Rock Mass Quality ◽  
Quality Classification ◽  
Engineering Projects ◽  
Rock Mass Quality Classification

In rock engineering projects, professionals assess the overall rock mass qualities using a sole value. However, the true qualities of partial rock masses are incompatible with such a value. To address this problem, the idea of regionally classifying rock mass qualities is proposed and the associated procedure presented. To achieve this goal, the probabilistic and deterministic joints within the study area were determined, and a three-dimensional joint network model was created. Then, the three-dimensional joint network model was discretized into interlocking subdomains, and the modified blockiness index ( MB i ) was used to finely identify the homogeneous structural regions, together with the k -means algorithm and the sum of squared errors (SSE). A synthetic model comprising homogeneous structural regions was developed and validated with respect to the extracted cross-sections. Next, an improved rock mass rating system ( RMR mbi ) was introduced, and the viability of RMR mbi was supported through a significant amount of theoretical cases and several real cases. Finally, visualization of regional RMR mbi classification results was performed. Results show that: (i) the homogeneous structural regions are finely demarcated in three dimensions, and (ii) the proposed idea can overcome the problem of rock mass quality classification using the conventional approach often leading to ‘overgeneralization’.

ethodical principles of designing the formation of rock mass quality for lump sorting scheelite-containing ores at the stage of mining

2019 ◽  
Vol 8 (29) ◽  
pp. 3-17
Author(s):  
V.A. Khakulov ◽  
◽  
V.A. Shapovalov ◽  
V.N. Ignatov ◽  
Zh.V. Karpova ◽  
...  
Keyword(s):  
Rock Mass ◽  
Rock Mass Quality

scholarly journals Weightage Effect during Back-Calculation of Rock-Mass Quality from the Installed Tunnel Support in Rock-Mass Rating and Tunneling Quality Index System

2019 ◽  
Vol 9 (10) ◽  
pp. 2065 ◽  
Author(s):  
Jonguk Kim ◽  
Hafeezur Rehman ◽  
Wahid Ali ◽  
Abdul Muntaqim Naji ◽  
Hankyu Yoo
Keyword(s):  
Rock Mass ◽  
Quality Index ◽  
Rock Bolt ◽  
Rock Mass Rating ◽  
Rock Mass Quality ◽  
Back Calculation ◽  
The Difference ◽  
Bolt Spacing ◽  
Q System ◽  
Selection Of

In extensively used empirical rock-mass classification systems, the rock-mass rating (RMR) and tunneling quality index (Q) system, rock-mass quality, and tunnel span are used for the selection of rock bolt length and spacing and shotcrete thickness. In both systems, the rock bolt spacing and shotcrete thickness selection are based on the same principle, which is used for the back-calculation of the rock-mass quality. For back-calculation, there is no criterion for the selection of rock-bolt-spacing-based rock-mass quality weightage and shotcrete thickness along with tunnel-span-based rock-mass quality weightage. To determine this weightage effect during the back-calculation, five weightage cases are selected, explained through example, and applied using published data. In the RMR system, the weightage effect is expressed in terms of the difference between the calculated and back-calculated rock-mass quality in the two versions of RMR. In the Q system, the weightage effect is presented in plots of stress reduction factor versus relative block size. The results show that the weightage effect during back-calculation not only depends on the difference in rock-bolt-spacing-based rock-mass quality and shotcrete along with tunnel-span-based rock-mass quality, but also on their corresponding values.

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