The Python programming language is embedded inside FLAC3D 6 and extended to allow FLAC3D models to be manipulated from Python programs. This webinar recording provides a brief introduction to Python scripting and includes many examples of using Python with FLAC3D.
This video demonstrates filling the empty space between key model elements and out to the far field boundary using Building Blocks in FLAC3D 6.
This tutorial demonstrates how you can add isosurfaces to your 3D Itasca model plots.
Numerical models are now used routinely to predict ground-water inflows to both surface and underground mines and to help design dewatering systems.
A 3D groundwater flow model was constructed using MINEDW [1] to simulate pore pressure at the Chuquicamata open pit mine slope in Chile.
A major use of DFN models for industrial applications is to evaluate permeability and flow structure in hardrock aquifers from geological observations of fracture networks. The relationship between the statistical fracture density distributions and permeability has been extensively studied, but there has been little interest in the spatial structure of DFN models, which is generally assumed to be spatially random (i.e., Poisson). In this paper, we compare the predictions of Poisson DFNs to new DFN models where fractures result from a growth process defined by simplified kinematic rules for nucleation, growth, and fracture arrest.