Learning

Getting Started With Dynamic Modeling in FLAC3D
Online
13 May 2025 - 14 May 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
Online
11 Jun 2025 - 12 Jun 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 States
16 Jun 2025 - 18 Jun 2025

Explore IMAT’s latest upgrade, uniting open-pit and underground mining capabilities for faster, smarter, and more efficient modeling.


Itasca Educational Partnership

IEP Research Program
IEP Teaching Program

Software Tutorials

Generating Videos via Plots

This tutorial reviews how you can generate movies from FLAC3D plots. It is also applicable for 3DEC, PFC, and UDEC.

FLAC3D 6.0 Model Generation using the Building Blocks and Geometric Data Sets
MINEDW Tutorial (Part 3: Boundary Conditions)

In this tutorial we will take a look at the different boundary conditions available to the user, and we will go over some examples of different scenarios in which they would be used.

Technical Papers

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.

Formulation and Application of a Constitutive Model for Multijointed Material to Rock Mass Engineering

This paper presents the formulation of a constitutive model to simulate the behavior of foliated rock mass. The 3D elastoplastic constitutive model, called Comba, accounts for the presence of arbitrary orientations of weakness in a nonisotropic elastoplastic matrix.

A Discrete Fracture Network Model With Stress-Driven Nucleation: Impact on Clustering, Connectivity, and Topology

The realism of Discrete Fracture Network (DFN) models relies on the spatial organization of fractures, which is not issued by purely stochastic DFN models. In this study, we introduce correlations between fractures by enhancing the genetic model (UFM) of Davy et al. [1] based on simplified concepts of nucleation, growth and arrest with hierarchical rules.

Latest News
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Upcoming Events
13 May
Getting Started With Dynamic Modeling in FLAC3D
This training supplies the tools needed to describe and apply the workflow for dynamic analysis in FLAC3D, demonstrating a comprehensiv... Read More
8 May
World Tunnel Congress 2025
This year the World tunnel congress 2025 is hosted in Sweden Stockholm. We are excited to meet all of you in Stockholm the 9-15th of Ma... Read More
11 Jun
Python in Itasca Software
This course provides an overview of the Python programming language in Itasca software.The course covers major applications of Python t... Read More