A new method for evaluating rock mass quality of slopes based on interval continuous mathematical models

2019 ◽  
Vol 79 (3) ◽  
pp. 1357-1364 ◽  
Author(s):  
Lixin Wu ◽  
Dixu Liu ◽  
Ping Cao
Keyword(s):  
Rock Mass ◽  
Mathematical Models ◽  
New Method ◽  
Rock Mass Quality

scholarly journals Engineering Classification of Jointed Rock Mass Based on Connectional Expectation: A Case Study for Songta Dam Site, China

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Shengyuan Song ◽  
Qiang Xu ◽  
Jianping Chen ◽  
Wen Zhang ◽  
Chen Cao ◽  
...  
Keyword(s):  
Rock Mass ◽  
Jointed Rock ◽  
Jointed Rock Mass ◽  
New Method ◽  
Analytic Hierarchy ◽  
Interval Numbers ◽  
Evaluation Indexes ◽  
Rock Mass Quality ◽  
Engineering Classification

Engineering classification of complex jointed rock mass is influenced and controlled by many factors with random, nonlinear, and unascertained characteristics, which is an extremely complicated problem. This paper introduces a comprehensive method to classify the rock mass with complex joints. Firstly, evaluation indexes are described by the interval number theory. Secondly, the weight values of the evaluation indexes are determined by the analytic hierarchy process (AHP). Thirdly, the connectional expectation between interval numbers is analyzed and the classification grade of jointed rock mass quality is identified by the set pair analysis theory. The new method can not only describe the dynamic evolution trend of various influencing factors, but also simplify the analysis process of the relationship between interval numbers. The Songta dam abutment rock mass is selected as a study case to verify the rationality of the new method. The classification results of rock mass quality obtained by the new method are in accordance with the actual situation and are consistent with the results provided by the RMR classification.

scholarly journals Analysis of engineering geology conditions based on the quality of rock mass in the Tiga Dihaji Dam’s diversion tunnel, South Sumatera, Indonesia

2021 ◽  
Vol 325 ◽  
pp. 05001
Author(s):  
Zekrinaldi ◽  
Ferian Anggara ◽  
Hendy Setiawan
Keyword(s):  
Rock Mass ◽  
Geological Strength Index ◽  
Strength Index ◽  
Diversion Tunnel ◽  
Rock Mass Quality ◽  
Geological Conditions ◽  
Q System

This research has examined the rock mass quality case study in the Tiga Dihaji Dam’s diversion tunnel. Observations of geological conditions were carried out on the surface and subsurface of the study site and show that the study area consists of tuffaceous sandstone and carbonate interbeds. The method of this study is based on the classification of the Geological Strength Index (GSI), Rock Mass Rating (RMR), and the Q-system. The results indicate that tuffaceous sandstone has a GSI value of 15 - 87.5 (very poor - very good), RMR 48 - 82 (fair - very good), and Q-system 0.01 – 60.0 (exceptionally poor - very good). Meanwhile, carbonate interbeds have a low value, with a GSI value of 10.5 - 77.5 (very poor to very good), RMR 17.0 – 56.0 (very - poor fair), and Q-system 0 - 35.2 (exceptionally poor - good). Moreover, a correlation was made between rock mass quality for conditions in the study area. The correlation between GSI and RMR was obtained by the equation GSI = 2.2885RMR 82.567 (R2 = 0.6653), RMR and Q-system RMR = 2.0175ln(Q) + 63.061 (R2 = 0.4987), and GSI and Q-system GSI = 7.2119ln(Q) 54.578 (R2 = 0.8095).

On the influence of rock mass quality on the quality of blasting work in tunnel driving

1998 ◽  
Vol 13 (1) ◽  
pp. 81-89 ◽  
Author(s):  
N. Innaurato ◽  
R. Mancini ◽  
M. Cardu
Keyword(s):  
Rock Mass ◽  
Rock Mass Quality

Multi-source data driven method for assessing the rock mass quality of a NATM tunnel face via hybrid ensemble learning models

2021 ◽  
Vol 147 ◽  
pp. 104914
Author(s):  
Mingliang Zhou ◽  
Jiayao Chen ◽  
Hongwei Huang ◽  
Dongming Zhang ◽  
Shuai Zhao ◽  
...  
Keyword(s):  
Rock Mass ◽  
Ensemble Learning ◽  
Data Driven ◽  
Learning Models ◽  
Tunnel Face ◽  
Rock Mass Quality ◽  
Source Data ◽  
Natm Tunnel

A new method for classifying rock mass quality based on MCS and TOPSIS

2019 ◽  
Vol 78 (6) ◽  
Author(s):  
L. Z. Wu ◽  
S. H. Li ◽  
M. Zhang ◽  
L. M. Zhang
Keyword(s):  
Rock Mass ◽  
New Method ◽  
Rock Mass Quality

scholarly journals Probabilistic Approach for Assessing Rock Mass Quality in the Tunnel

2012 ◽  
Vol 11 ◽  
pp. 6-11
Author(s):  
Krishna Kanta Panthi
Keyword(s):  
Rock Mass ◽  
Heterogeneous Media ◽  
Probabilistic Approach ◽  
Cost Effective ◽  
Quality Data ◽  
Rock Mass Quality ◽  
Headrace Tunnel ◽  
Key Issues ◽  
Tunnel Alignment

Rock mass is a heterogeneous media and the quality of the rock mass may change within a very short distance. As a result, on many occasions considerable discrepancies (variations) have been found between the predicted and actual rock mass conditions along the tunnel alignment, resulting in signifi cant cost and time overruns. Finding innovative solutions for quantifying the quality of rock mass and assessing the risk of discrepancies are, therefore, key issues for cost effective and optimum tunneling solutions in the Himalayan region.In this paper, a probabilistic approach of uncertainty analysis has been proposed to evaluate the quality of rock mass based on the Q-system of rock mass classifi cation. Mapped rock mass quality data from the Modi headrace tunnel from Nepal have been used as a case study. The degree of correlation between the simulated results achieved by a probabilistic assessment using @Risk and values actually measured in the tunnel have been discussed. It is concluded that the probabilistic approach can be used as a tool in predicting rock mass quality and assessing risk in tunneling projects.DOI: http://dx.doi.org/10.3126/hn.v11i0.7154 Hydro Nepal Vol.11 2011 pp.6-11

scholarly journals Rock mass blastability dependence on rock mass quality.

2013 ◽  
Vol 47 (4) ◽  
pp. 1694 ◽  
Author(s):  
M. Chatziangelou ◽  
B. Christaras
Keyword(s):  
Rock Mass ◽  
Classification System ◽  
Quality Characteristics ◽  
Classification Systems ◽  
New Classification ◽  
The Poor ◽  
Rock Mass Quality ◽  
To Come ◽  
Blastability Index

The present paper tries to investigate the influence of rock mass quality characteristics on blasting results. In order to come to some conclusions, blastability and quality of rock mass were put together using the already known classification systems. Taking into account the quantity of blastability index (BI) for every possible structural appearance of the poor rock mass, the relation of discontinuities characteristics and blastability index are investigated. The estimations of the above trial gave arise on a new classification system being called “Blastability Quality System (BQS)”, which can be an easily and wide use tool as it is a quickly calculator for blastability index (BI) and rock mass quality.

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

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

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