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Three-Dimensional Triangulated Boundary Element Meshing of Underground Excavations and Visualization of Analysis Data.pdf

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Three-Dimensional Triangulated Boundary Element Meshing of Underground Excavations and Visualization of Analysis Data.pdf

文档介绍

文档介绍:THREE-DIMENSIONAL TRIANGULATED BOUNDARY ELEMENT
MESHING OF UNDERGROUND EXCAVATIONS AND
VISUALIZATION OF ANALYSIS DATA







by







Brent T. Corkum










A thesis submitted in conformity with the requirements
for the degree of Doctor of Philosophy
Graduate Department of Civil Engineering
University of Toronto





 Copyright by Brent T. Corkum, 1997
ABSTRACT
THREE-DIMENSIONAL TRIANGULATED BOUNDARY ELEMENT MESHING OF
UNDERGROUND EXCAVATIONS AND VISUALIZATION OF ANALYSIS DATA
Brent T. Corkum
Department of Civil Engineering, University of Toronto
Doctor of Philosophy, 1997

In the design of an underground excavation, the engineer uses analyses to quantify and
understand the interaction between excavation geometry, rock mass properties and stresses. The analyses
are plicated by the need to consider variability of each model parameter’s values,
three-dimensional geometric effects, and the integration of information from multi-disciplinary datasets.
A major goal of this thesis is therefore to rationalize the analysis process used to represent underground
excavation geometry, conduct numerical stress analyses, and visualize analysis data.
The first issue considered in this thesis is the modeling of underground excavation geometry for
the purpose of performing three-dimensional boundary element stress analysis. Various geometric
modeling algorithms and techniques are enhanced for the application to underground excavation
geometry and the concurrent creation of a triangulated boundary element mesh. The second focus of this
thesis is the visualization of underground mine datasets. In particular, a paradigm is developed that
allows the efficient visualization of stress analysis data, in conjunction with other mine datasets such as
seismic event locations, event density, event energy density and geotomographic velocity imaging
datasets. Se