Geophysical Research on Rock Mass Quality Evaluation for Infrastructure Design

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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Application of electrical resistivity tomography (ERT) for rock mass quality evaluation

Scientific Reports ◽

10.1038/s41598-021-03217-8 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Muhammad Hasan ◽

Yanjun Shang ◽

He Meng ◽

Peng Shao ◽

Xuetao Yi

Keyword(s):

Electrical Resistivity ◽

Rock Mass ◽

Quality Evaluation ◽

Electrical Resistivity Tomography ◽

Geological Model ◽

Well Test ◽

Resistivity Tomography ◽

Entire Area ◽

Rock Mass Quality ◽

Geotechnical Investigations

AbstractRock mass quality evaluation is a challenging task in geotechnical investigations given the natural heterogeneity and the limited data. These investigations mainly depend on the traditional drilling tests. However, such tests are expensive and time consuming, provide point measurements, and cannot be conducted in steep topographic areas, and thus cause uncertainties in the geological model. Conversely, geophysical methods such as electrical resistivity tomography (ERT) are non-invasive, user-friendly, and fast. In this work, we establish empirical correlation between ERT and limited drilling data to obtain rock mass integrity coefficient (Kv). The estimated Kv provides 2D/3D imaging of the rock mass quality evaluation via weathered/unweathered rock and faults detection in order to cover the entire area even where no drilling test exists. Compared with the past geotechnical investigations, our work reduce the ambiguities caused by the inadequate well tests and provide more accurate geological model for infrastructures design. Our work proposes that, in case of sparse borehole data, the established empirical equations can be used to determine Kv along different geophysical profiles via 2D/3D insight of the subsurface. Our approach is applicable in any hard rock setting, and the established correlations can be used in areas even where no well test exists.

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Application of improved AHP method and variable weight theory to rock mass quality evaluation

Rock Mechanics: Achievements and Ambitions ◽

10.1201/b11438-100 ◽

2011 ◽

pp. 509-512

Author(s):

S Peng ◽

G Li ◽

S Qin ◽

J Ma

Keyword(s):

Rock Mass ◽

Quality Evaluation ◽

Ahp Method ◽

Rock Mass Quality ◽

Variable Weight

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Effects of flow structure in lavas from Sierra de Guadalupe, Northern Mexico City, on point load index and rock mass quality evaluation

Volcanic Rocks ◽

10.1201/noe0415451406.ch9 ◽

2007 ◽

pp. 66-72

Author(s):

A Concha-Dimas ◽

J Vargas-Godínez

Keyword(s):

Rock Mass ◽

Mexico City ◽

Flow Structure ◽

Quality Evaluation ◽

Point Load ◽

Point Load Index ◽

Northern Mexico ◽

Rock Mass Quality

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Rock Mass Quality Evaluation Based on Unascertained Measure and Intuitionistic Fuzzy Sets

Complexity ◽

10.1155/2020/5614581 ◽

2020 ◽

Vol 2020 ◽

pp. 1-14

Author(s):

Shuliang Wu ◽

Xidong Du ◽

Shan Yang

Keyword(s):

Rock Mass ◽

Quality Evaluation ◽

Weight Vector ◽

Intuitionistic Fuzzy Sets ◽

Single Index ◽

Rock Mass Quality ◽

Index Weight ◽

Index Measure ◽

Measure Evaluation ◽

Evaluation Matrix

Evaluation of rock mass quality is of great significance to the design and construction of geotechnical engineering. In order to evaluate the quality of engineering rock mass scientifically and deal with the fuzzy information in the rock mass quality evaluation reasonably, a model for evaluation of rock mass quality based on unascertained measure and intuitionistic fuzzy sets (UM-IFS) was proposed. First, the membership of rock mass quality evaluation index was determined by the single index measure function of unascertained measure (UM) theory. Based on the intuitionistic fuzzy sets (IFS) theory, the single index measure evaluation matrix based on IFS (IFS-single index measure evaluation matrix) was obtained. By synthesizing various subjective and objective weighting methods, the range of index weight was determined, and the index weight vector based on IFS (IFS-index weight vector) was constructed. Then, the IFS-single index measure evaluation matrix and the IFS-index weight vector were used to calculate the scores of rock mass samples and evaluate rock mass quality. Finally, fuzzy analysis was performed on the weight of rock mass quality evaluation index. The established model for evaluation of rock mass quality was applied to the underground engineering rock mass in Guangzhou pumped storage power plant, and the evaluation results were compared with the other 4 effective models for rock mass quality evaluation. The results show that rock mass quality evaluation based on UM-IFS is consistent with the actual situation, and the fuzziness of evaluation index weight has no obvious correlation with its value.

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

MINING INFORMATIONAL AND ANALYTICAL BULLETIN ◽

10.25018/0236-1493-2019-8-29-3-17 ◽

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

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

Applied Sciences ◽

10.3390/app9102065 ◽

2019 ◽

Vol 9 (10) ◽

pp. 2065 ◽

Cited By ~ 3

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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