Getting Started With Dynamic Modeling in FLAC3D
OnlineMay 13, 2025 - May 14, 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
Objectives of the Training:
- Ability to use Python to extend modeling capabilities with the Itasca codes.
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.
Software Tutorials
3DEC 5.2 Introductory Webinar
This video is a recording of a one hour webinar reviewing the latest features in Version 5.2 of 3DEC. Presented by Dr. Jim Hazzard, 3DEC Product Manager and Lead Developer.
FLAC3D 6.0 PFC Plugin Conveyor
Homogeneous Embankment Dam Analysis (Part 2 of 3)
This FLAC 8.1 tutorial demonstrates how to conduct a steady-state seepage analysis to calculate the pore water pressures in the embankment due to the reservoir.
Technical Papers
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.
Graph-based flow modeling approach adapted to multiscale discrete-fracture-network models
In this study, we address the issue of using graphs to predict flow as a fast and relevant substitute to classical DFNs. We consider two types of graphs, whether the nodes represent the fractures or the intersections between fractures.
On the Density Variability of Poissonian Discrete Fracture Networks, with application to power-law fracture size distributions
This paper presents analytical solutions to estimate at any scale the fracture density variability associated to stochastic Discrete Fracture Networks. These analytical solutions are based upon the assumption that each fracture in the network is an independent event. Analytical solutions are developed for any kind of fracture density indicators.