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

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).

Analyze of the Affection of Excavation Unloading of the Rock Mass of the Spillway Tunnel of a Hydropower Station on the Slope’s Stability

2012 ◽  
Vol 594-597 ◽  
pp. 621-626 ◽  
Author(s):  
Le Hua Wang ◽  
Jun Lei Bai
Keyword(s):  
Rock Mass ◽  
Hydropower Station ◽  
Engineering Practice ◽  
Tunnel Face ◽  
Tunnel Excavation ◽  
Slope Rock ◽  
Spillway Tunnel ◽  
The Stability ◽  
Unloading Effect

After the excavation of the rock , the rock mass stress state changes and the quality of rock mass damage deterioration. Rock excavation of spillway tunnel of the hydropower station may have some influence on the stability of the tunnel-face side slope. In this paper, combined with the engineering practice, based on the unloading rock mass theory and through two dimensional finite-difference method. Selected seven feature points near the excavation surface as monitoring points for calculation ,then calculated the effect on the stress and strain of the slope caused by the excavation of the spillway tunnel and analysed the changes in the distribution of the slope rock mass plastic zone and the point factor of safety. The results show that spillway tunnel excavation in excavated slope have some impact on the excavated slope stability, and it is more obvious for the effect on stability of excavated slope in considering rock mass unloading effect than do not consider the rock mass unloading effect.

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
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