This training supplies the tools needed to describe and apply the workflow for dynamic analysis in FLAC3D, demonstrating a comprehensive understanding of each step involved, including model setup, boundary conditions, input signal application, and damping, to effectively analyze dynamic behavior in geotechnical simulations.
Explore IMAT’s latest upgrade, uniting open-pit and underground mining capabilities for faster, smarter, and more efficient modeling.
Introduction to Python scripting by reviewing key concepts and through demonstrations. Part 2 focuses on classes and objects plus lists and dictionaries.
This tutorial will show how to paint zone data onto an imported geometric surface in FLAC3D.
Operations at Westwood mine in Quebec, Canada were temporarily halted in May 2015 after three large-magnitude seismic events occurred over two days. The mechanisms leading to these events, which caused severe damage to several accesses, were not well understood at first. This paper presents the key aspects of FLAC3D back-analysis modelling, which include (1) an anisotropic rock mass strength model with properties derived from field and laboratory strength testing, and (2) a scheme to account implicitly for the deconfinement that accompanies buckling around excavations.
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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.