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Prediction of Hazards in Underground Excavations
Exceptionally weak ground, usually associated with faulting, unanticipated groundwater pressures or flows and exceptionally high stress concentrations are some of the hazards which confront the underg
Jan 1, 1985
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Prediction of Hydrocyclone Performance in Iron Ore Beneficiation Using Virtual Modelling
By S P. Suthers, J M. F Clout, J J. Campbe
An advanced technique for modelling hydrocyclone separation performance has been developed. This technique is based on the combined modelling of hydrocycloning parameters and ævirtualÆ iron ore feed.
Jan 1, 2005
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Prediction of Instability in Slopes During Opencast mining Over Old Underground Workings in Jharia Coalfield, India
By Singh T, Singh D. P
India has limited resources of coking coal. Most of the coking coal seams are located in Jharia Coalfield. These seams were worked in the past by the bord and pillar system in a haphazard manner,
Jan 1, 1988
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Prediction of Longwall Support Loading at Southern Colliery, Queensland
By McNabb KE, Ward B, Dyer G
Roof conditions at Southern Colliery, the second longwall mine to be established at German Creek, were found to be much stronger and more massive than at the earlier longwall mine on the lease. In
Jan 1, 1992
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Prediction of Near-Field Rock Damage Due to Production Blasting in Limestone Quarries, Japan
This paper presents the near-field rock damage owing to production blasting in limestone quarry in the western region of Japan. The study's purpose is to learn the mechanism of crack development
Dec 6, 2010
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Prediction of Optimum Cleaning Results for an Undeveloped Coal Seam
By Sanders GJ
Coals from the Southern Coalfield of New South Wales treated in the Port Kembla coal preparation plants of Australian Iron and Steel Pty Ltd differ substantially in their characteristics. Knowledge o
Jan 1, 1970
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Prediction of Optimum Cleaning results for an Undeveloped Coal Seam (6c762c30-f6ab-4e26-862a-9df2c26ddc9e)
Coals from the Southern Coalfield of New South Wales treated in the Port Kembla coal preparation plants of Australian Iron and Steel Pty. Ltd. differ supstantially in their characteristics. Knpwledge
Jan 1, 1971
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Prediction of Plant Process Performance Using Feed Characterisation ù An Emerging Tool for Plant Design and Optimisation
By J M. F Clout, E Donskoi
The ability to design a beneficiation process for a new orebody based on particular feed characteristics is a powerful and practical tool. A new technique has been developed where beneficiation outcom
Jan 1, 2004
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Prediction of Precious Metal Heap Leach Behavior by use of Unsteady State Models
By Hendrix J. L, Nelson J. H
A model based on non-steady state has been developed for dissolution and diffusion in porous ore particles. Results from the particular model have been incorporated, as a rate term, into a global, h
Jan 1, 1991
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Prediction of Required Ventilation Levels for Longwall Mining in Australian Gassy Coal Mines
By Battino S
ABSTRACT' The high gas emissions associated with coal extraction at some-Australian collieries have provided a need to investigate the methods used to predict these gas levels and the vent- il
Jan 1, 1983
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Prediction of Rock Cutting Performance using Fracture Mechanics Principles - A review
By Waller M. D, Whittaker B. N, Singh R. N
This paper overviews the recent research progress in predicting cutting performance using fracture mechanics principles. It is emphasised that rock fragmentation due to cutting is mainly a process
Jan 1, 1992
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Prediction of Rock Fragmentation Using a Gamma-based Blast Fragmentation Distribution Model
By H Mansouri, M A. Ebrahimi Farsangi, F Faramarzi
A blast fragmentation model is developed based on the gamma function to describe the run-of-mine fragmentation distribution. The model presented is aimed to benefit from simplicity in application and
Aug 24, 2015
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Prediction of Rock Mass Properties Ahead of Tunnel Face Using Drilling Parameters
By K-S Kim, C-Y Kim, D-G Kim
In tunnel construction or other underground construction, a detailed knowledge of the rock mass ahead of the face is essential for both safety and efficiency of work. Many tunnel collapses have been r
Jan 1, 2008
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Prediction of Roof Collapse for Rectangular Underground Openings
By A M. Suchowerska, J P. Carter, J P. Hambleton
"In order to effectively predict the roof collapse of underground openings using continuum models, it is imperative that a realistic failure criterion is used to represent the rock mass. However, for
Nov 5, 2014
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Prediction of Shearer Cutting Performance
By Jeffrey IC
This paper presents a method of measuring field power consumption of shearers and deriving specific energy consumption versus shearer haulage speed performance curves. A description of a computer
Jan 1, 1992
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Prediction of Size Distributions from Compressing Crusher Machines
During the last few years the quality requirements on roads and railroads have become more accentuated due to the desire to minimise maintenance costs. This has, in turn, led to increasing requireme
Jan 1, 1995
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Prediction of Solute Transport from Gold Mine Wastes, Coromandel, New Zealand
This paper describes a case history of using an integrated geochemical and hydrogeological approach to predicting solute transport from gold mine tailings in highly fractured volcanic terrain. Two m
Jan 1, 1988
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Prediction of Strata Caving Characteristics and its Impact on Longwall Operation
By Nemick JA
Recent advances in computer simulation together with field measurements of caving and microseismic activity about longwall panels, has allowed a much better understanding of the caving process and the
Jan 1, 1998
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Prediction of Subsidence Due to Longwall Mining at West Cliff Colliery
By Shu DM, Moxon P
Subsidence profiles over longwalls at West Cliff Colliery (WCC) are predicted by three methods, NCB Emperical Method, Salustowicz's Profile Functions and Superposition of Two Critical Profile
Jan 1, 1986
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Prediction of Subsidence Over Partial Extraction Systems in Coal
This paper reviews the current techniques employed in the prediction of subsidence and how they have been applied to partial extraction systems. The method using influence functions to describe the sh
Jan 1, 1991