Research on Generalized RQD of Rock Mass Based on 3D Slope Model Established by Digital Close-Range Photogrammetry

Wang, Fengyan; Wang, Mingchang

doi:10.3390/rs14092275

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…Ding et al [4] took a typical slope in the Dongsheng quarry in Changchun City as an example; in this study, we obtained the discontinuity data of the slope based on digital close-range photogrammetry, which greatly enlarged the sample size of discontinuity data and improved the data quality. Based on the rock mass's heterogeneity, the optimum discontinuity spacing threshold was determined when surveying lines were laid parallel to different coordinate axes to calculate the generalized RQD, and the influence of measuring blank areas on the slope caused by vegetation coverage or gravel accumulation was eliminated.…”

Section: Special Issue Contentmentioning

confidence: 99%

Overview of Comprehensive Risk Assessment Methods and Hazards Early Warning System for Geological Hazards in the Mountain Area

Zhu

Tao

et al. 2023

Remote Sensing

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Section: Special Issue Contentmentioning

confidence: 99%

Overview of Comprehensive Risk Assessment Methods and Hazards Early Warning System for Geological Hazards in the Mountain Area

Zhu

Tao

et al. 2023

Remote Sensing

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“…When measuring the joints of high-risk rock mass, surveyors are jeopardized. As a result, numerous scholars [36,[47][48][49] have begun to adopt non-contact measurement technologies such as 3D laser scanning and photogrammetry to collect rock discontinuity data and verify their accuracy in recent years. Close-range photogrammetry is applied to acquire rock discontinuity data from a fresh outcrop in the study area.…”

Section: Geometric Information Acquisition Of Rock Mass Discontinuiti...mentioning

confidence: 99%

“…In recent years, the fracture network model has been extended from two dimensions to three dimensions. Several researchers [34][35][36] have investigated the spatial effect of the RQD in the model by varying the length and orientation of the virtual borehole. Compared to other techniques, fracture network simulation technology considers various influencing factors of the RQD as input parameters, reflecting the distribution of fractures within the rock mass in a reasonable way.…”

Section: Introductionmentioning

confidence: 99%

Estimating RQD for Rock Masses Based on a Comprehensive Approach

Shen,

Ni,

Yong

et al. 2023

Applied Sciences

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Rock Quality Designation (RQD) is among the widely used measures of the quality of rock masses and can be derived through Monte Carlo stochastic process-based fracture network simulations. However, repeated simulations can yield variable RQD results. Here, we introduce a four-step approach that incorporates class ratio analysis to estimate the representative RQD, which includes (1) extracting the mean and confidence interval of the RQD sample, in terms of the Confidence Neutrosophic Number Cubic Value (CNNCV), (2) employing class ratio analysis to determine the thresholds of the number of virtual boreholes and that of the number of models for a given size D, beyond which the CNNCV remains substantially unchanged, (3) accepting the CNNCV at the thresholds of the number of models as the representative RQD for the model of size D (RQD(D)) and (4) determining the representative RQD (rRQD), defined as the specific value which, once D exceeds, the RQD(D) does not change significantly. The introduced approach is illustrated with a case study of an open-pit slope in China, and it was tested for its performance. The RQD calculation results of the proposed method and the traditional single-model approach exhibit differences, which diminish with increasing model sizes. At the 95% confidence level, the stable size of the RQD determined by the proposed method is 13 m, compared to 25 m for the single-model approach. This method enhances the accuracy of representative elementary volume predictions by accounting for the diversity in the simulation results of RQDs for the same size. Overall, the introduced approach offers a reliable method for obtaining RQD estimates.

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“…The RQD value was first defined for rock core logging, and later extended to rock surfaces analysis [21,22]. In this paper we focus exclusively on rock core analysis.…”

Section: Introductionmentioning

confidence: 99%

Borehole Analysis with the Modification of RQD Value

Somodi,

Vásárhelyi

2023

Geotechnics

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The most common classification method of drill cores is the Rock Quality Designation (RQD) value, which indicates the percentage of rock cores longer than 10 cm in a given core section. This core logging procedure is the basic parameter in the most useful rock mass classification methods like Rock Mass Rate (RMR) and Rock Mass Quality (Q). It is also used to determine the Geological Strength Index (GSI), which has become widely used in the last 20 years. One of the basic problems of the RQD value is that it does not distinguish different rock cores longer than 10 cm (100% is obtained for one piece of 1 m length and 10 pieces of 10 cm length) and a uniform result is obtained for shorter units. In this paper, the so-called Integrated RQD (Int_RQD) factor is introduced to eliminate these problems and to provide a better description of fracture density in the core logging procedure. As it uses the original core logging procedure, historical RQD data can also be reevaluated. Considering that RQD is an input parameter for most rock engineering classifications, these systems such as GSI can be reviewed based on the new RQD definition proposed herein.

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Research on Generalized RQD of Rock Mass Based on 3D Slope Model Established by Digital Close-Range Photogrammetry

Cited by 6 publications

References 15 publications

Overview of Comprehensive Risk Assessment Methods and Hazards Early Warning System for Geological Hazards in the Mountain Area

Overview of Comprehensive Risk Assessment Methods and Hazards Early Warning System for Geological Hazards in the Mountain Area

Estimating RQD for Rock Masses Based on a Comprehensive Approach

Borehole Analysis with the Modification of RQD Value

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