Results 31 to 40 of about 272,485 (255)

Variable Weight Matter–Element Extension Model for the Stability Classification of Slope Rock Mass

open access: yesMathematics, 2021
The slope stability in an open-pit mine is closely related to the production safety and economic benefit of the mine. As a result of the increase in the number and scale of mine slopes, slope instability is frequently encountered in mines.
Shan Yang, Zitong Xu, Kaijun Su
doaj   +1 more source

A New Reliability Rock Mass Classification Method Based on Least Squares Support Vector Machine Optimized by Bacterial Foraging Optimization Algorithm

open access: yesAdvances in Civil Engineering, 2020
Classification of the surrounding rock is the basis of tunnel design and construction. However, conventional classification methods do not allow dynamic tunnel construction adjustments because they are time-consuming and do not consider the randomness of
S. Zheng   +3 more
doaj   +1 more source

Estimating the rock mass deformation modulus: A comparative study of empirical methods based on 48 rock mass scenarios

open access: yesREM: International Engineering Journal, 2021
The rock mass deformation modulus, Erm, is an input parameter for most numerical modeling to verify the deformation behavior of rocks due to rock engineering activities within/on it. Among the most common methodologies used for estimating this parameter,
Konstantinos Polemis Júnior   +2 more
doaj   +1 more source

Fundamental Study on Support Systemat Cibaliung Underground Gold Mine, Indonesia [PDF]

open access: yes
Geotechnical information is a key for underground design. The most important parameters are rock mass strength, geological structures, main stress and strain, rock mass classification, discontinuities, etc.
Funatsu, Takahiro   +5 more
core   +1 more source

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

open access: yesAdvances in Civil Engineering, 2020
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.
Shengyuan Song   +5 more
doaj   +1 more source

Intelligent Identification of Surrounding Rock Grades Based on a Self-Developed Rock Drilling Test System

open access: yesBuildings
The classification of surrounding rock is crucial for formulating safe tunnel construction plans and support measures. However, the complex geological environment of tunnels presents a challenge in obtaining accurate drilling parameters for rock mass ...
Quanwei Liu   +7 more
doaj   +1 more source

Towards TBM Automation: On-The-Fly Characterization and Classification of Ground Conditions Ahead of a TBM Using Data-Driven Approach

open access: yesApplied Sciences, 2021
Pre-tunneling exploration for rock mass classification is a common practice in tunneling projects. This study proposes a data-driven approach that allows for rock mass classification. Two machine learning (ML) classification models, namely random forest (
Sylvanus Sebbeh-Newton   +6 more
doaj   +1 more source

Boreholes plans optimization methodology combining geostatistical simulation and simulated annealing [PDF]

open access: yes, 2017
Nowadays, the prospection plans have the difficult task of ensuring a more complete and rich characterization of the rock mass for the purpose of optimizing costs and increasing safety in geotechnical projects. Currently, boreholes location and depth are
Emery, Xavier   +4 more
core   +1 more source

Rock Mass Structure Classification of Caves Based on the 3D Rock Block Index

open access: yesApplied Sciences
In large-scale water conservancy and hydropower projects, complex rock structures are considered to be the main factor controlling the stability of hydraulic structures.
Jun Dong   +3 more
doaj   +1 more source

Modification of rock mass rating system: Interbedding of strong and weak rock layers

open access: yesJournal of Rock Mechanics and Geotechnical Engineering, 2017
Rock mass classification systems are the very important part for underground projects and rock mass rating (RMR) is one of the most commonly applied classification systems in numerous civil and mining projects.
Mohammad Mohammadi   +1 more
doaj   +1 more source

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