“Getting Started With Dynamic Modeling in FLAC3D ”
OnlineMay 12, 2025 - May 13, 2025
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.
Python in Itasca Software
OnlineJun 11, 2025 - Jun 12, 2025
This course provides an overview of the Python programming language in Itasca software.
The course covers major applications of Python to extend modeling capabilities with the Itasca codes through many applied examples.
IMAT Training: Revolutionizing Mining Analysis with Seismology & Numerical Modeling
Minneapolis, Minnesota, United StatesJun 16, 2025 - Jun 18, 2025
Explore IMAT’s latest upgrade, uniting open-pit and underground mining capabilities for faster, smarter, and more efficient modeling.
Itasca Educational Partnership
ITASCA Educational Partnership (IEP) Programs
IEP Research Program
IEP Teaching Program
Software Tutorials
PFC 7 Generating A Bonded Assembly
This tutorial will guide you through how to create a simple material using the linear parallel bond-model.
FLAC3D 6.0 PFC Plugin Punch
Working with ParaView
Itasca has made it easy to readily export model data from FLAC3D and 3DEC software (version 7+) using the VTK file format.
Technical Papers
Advanced three-dimensional geomechanical and hydrogeological modelling for a deep open pit
Connectivity, permeability, and channeling in randomly distributed and kinematically defined discrete fracture network models
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.
Three-dimensional Modeling and Stress Calibration for a Complex Mining Geometry
Study stress situation for potential continued mining towards greater depths; stress calibration against stress measurements using numerical modeling; and use of calibrated model to study stresses at existing infrastructure, study stresses at potential future haulage level locations, and as input to local models.