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Virginia Tech

Optimizing roof control using probabilistic techniques in roof failure prediction

Abstract

dc:description.abstract

A major objective in the design stage of an underground mine is the reliable prediction of roof falls' size, frequency and location. Probabilistic simulation of potential roof control problems allows a designer to test the performance of competing mine layouts against assumed roof conditions. By comparing different roof control plans using the simulation, the option that provides the lowest overall cost can be selected. The program ROCSIM (Roof control Optimization Cost Simulation) was developed to provide a theoretical solution to this problem. The occurrence and frequency of roof falls are related to the type of roof support, support density, geology, structural discontinuities, location in the mine, and elapsed time between mining and the roof fall. Using a Roof Rating System (RRS) developed for this research, a numerical rating can be given to each area of roof. Using this rating, specific parameters can be assigned to these probability distributions to simulate the occurrence of roof falls within a given geologic setting. Once the location of a roof fall is determined, a cost is calculated taking into account the production delay that would result and the direct cost of cleaning up the fall and resupporting the roof. Assigning a cost to a roof fall allows the comparison of competing roof support designs relative to their overall cost. The final decision on the amount of support and room width must be determined based on legal restraints and minimization of mining costs.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Mining and Minerals Engineering
Department dc:contributor.department
Mining and Minerals Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1992

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Fraher, Richard Louis
Chair dc:contributor.committeechair
  • Haycocks, Christopher
Committee members dc:contributor.committeemember
  • Karfakis, Mario G.
  • Karmis, Michael E.

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
etd-10062009-020200
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/45022

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Fraher, Richard Louis. Optimizing roof control using probabilistic techniques in roof failure prediction. masters thesis, Virginia Tech, 1992. http://hdl.handle.net/10919/45022