Getting Started With Dynamic Modeling in FLAC3D
Online
2025年5月13日 - 2025年5月14日

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
2025年6月11日 - 2025年6月12日

IMAT Training: Revolutionizing Mining Analysis with Seismology & Numerical Modeling
Minneapolis, Minnesota, United States
2025年6月16日 - 2025年6月18日

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


An Introduction to Python Scripting: Part 1

Introduction to Python scripting by reviewing key concepts and through demonstrations. Part 1 focuses on installing Python, variables and types, conditions and loops, and functions.

Fluid Flow through Jointed Rock

As well as flow through joints, 3DEC 5.2 is capable of simulating fluid flow through the blocks or the matrix (i.e., between the joints). It is assumed that the blocks represent a saturated, permeable solid, such as soil or fractured rock mass.

An Introduction to Python Scripting: Part 2

Introduction to Python scripting by reviewing key concepts and through demonstrations. Part 2 focuses on classes and objects plus lists and dictionaries.

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.

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.

A Calibrated Predictive Geochemical Model of Leaching and Attenuation Reactions in a Mine Pit Lake

A geochemical model was developed to predict future water quality of the Cove pit lake in support of site closure and regulatory permitting.

  • Itasca has announced the release of FLAC2D v9 Itasca has announced the release of FLAC2D v9, revolutionizing the way we analyze and predict...
  • 6th Itasca Symposium on Applied Numerical Modeling The next Itasca Symposium will take place June 3 - 6, 2024, in Toronto, Canada....

13 5月
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...
11 6月
Python in Itasca Software
...
16 6月
IMAT Training: Revolutionizing Mining Analysis with Seismology & Numerical Modeling
Explore IMAT’s latest upgrade, uniting open-pit and underground mining capabilities for faster, smarter, and more efficient modeling....