Dr. Sharrock has 15 years industry experience in a wide range of rock mechanics positions such as Principal Geotechnical Engineer (Newcrest Mining NL), Rock Mechanics Engineer (Mt Isa Mines), Senior Geotechnical Consultant (AMC Consultants), Senior Lecturer in Geotechnical Engineering (UNSW) and Associate Professor - Caving Geomechanics (UQ).
This hands-on, virtual training course is 16 hours total, spread over four days in a 1.5-week period, and covers the analysis of embankment dams using FLAC.
Mr Hebert is a geotechnical engineer with experience in both the mining and civil industries. He has provided consulting on many projects including underground mining (e.g. block cave mining, pillar stability), open pit mining, underground excavations (e.g. tunnels, caverns, nuclear waste storage) and dams.
3DEC simulates the nonlinear response of a system (soil, rock, and
structures) to excitation from an external (e.g., seismic) source or
internal (e.g. vibration or blasting) sources. It can reproduce the
evolution of permanent movements due to yield. This option models the
full dynamic response of a system in the time domain. Capabilities
include specification of velocity or stress-wave input, quiet (i.e.,
viscous) boundaries, free-field conditions (ideal for earthquake
simulation), and damping.
Problems such as seismic loading, explosive loading, seismic release of energy, and flow of particles may be modeled.
Two types of damping are available in 3DEC: mass-proportional and
stiffness-proportional. Mass-proportional damping applies a force which
is proportional to absolute velocity and mass, but in the direction
opposite to the velocity. Stiffness proportional damping applies a
force, which is proportional to the incremental stiffness matrix
multiplied by relative velocities or strain rates, to contacts or
stresses in zones. Either form of damping may be used separately or in
combination (i.e., Rayleigh damping).
In 3DEC, the dynamic input can be applied as either a prescribed
velocity history or as a stress history. An acceleration history needs
to be integrated numerically first to produce a velocity history for
The thermal option in 3DEC allows the simulation of transient heat conduction. There are two separate formulations of the thermal logic. The first is a numerical formulation using the explicit or implicit finite difference method. This method is more accurate for short times, and includes thermal-mechanical fluid coupling. The second is an analytical formulation that uses superposition of point heat sources* in an infinite medium. This method is suitable for long thermal times, and is very fast.
Comparison of features available with numerical vs analytical formulations.
*Point heat sources may be placed individually, in lines, or in grids, to represent point, line, or plane sources of heating. This formulation yields rapid calculations, correct application of mechanical boundary conditions, incorporation of the infinite thermal boundary,and the ability to use inhomogeneous and anisotropic mechanical properties.
User-defined constitutive models can be written in C++ for both zoned block materials and joint materials. These are compiled as DLL files that can be loaded whenever needed with this option. Microsoft Visual Studio 2017 or 2019 is used to compile the DLL files. The main function of the constitutive model is to return new stresses, given strain increments. However, the model must also provide other information (such as name of the model and material property names) and describe certain details about how the model interacts with the code. Itasca maintains an online library of UDM C++ models where users can submit and download novel and useful constitutive models.
Brandshaug, T. and L. Rosengren (2008). 3D Numerisk Analys av Explosionslaster I Bergtunnlar (3D numerical analyses of accidental explosions in rock tunnels). Swedish Rock Engineering Research, SveBeFo Rapport 89, Stockholm, ISSN 1104 – 1773, 225 pages (in Swedish).
Lemos, J. (2012). Modelling the failure modes of dams' foundations. In MIR 2012
- Nuovi metodi diindagine, monitoraggio e modellazione degli amassi
rocciosi (Eds. G. Barla, M. Barla, A.M. Ferrero, T. Rotonda),
Politecnico di Torino, Italy, 2012, pp. 259-272.
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