Learning

Itasca Educational Partnership

ITASCA Academics

Software Tutorials

FLAC3D 6.0 PFC Plugin Punch
Python and Pore Pressure Initialization

In this tutorial we will demonstrate how to map a random point cloud with pore pressure values onto the grid points of a FLAC3D model using Python.

FLAC3D 7.0 Geometry Painting Tutorial

This tutorial will show how to paint zone data onto an imported geometric surface in FLAC3D.

Technical Papers

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.

Numerical modeling of rock blasting: Validation tests for Blo-Up 2.5

As part of the Hybrid Stress Blast Model (HSBM) project, Itasca has developed software to model the rock blasting process.

Blast Movement Simulation Through a Hybrid Approach of Continuum, Discontinuum, and Machine Learning Modeling

This work presents a hybrid modeling approach to efficiently estimate and optimize rock movement during blasting. A small-scale continuum model simulates early-stage, near-field blasting physics and generates synthetic data to train a machine learning (ML) model. Key parameters such as expanded hole diameter, burden velocity, and gas pressure are obtained through the ML model, which then inform a discontinuum model to predict far-field muckpile formation. The approach captures essential blast physics while significantly accelerating blast design optimization.

Latest News
  • Itasca at Balkanmine 2025! Itasca is pleased to announce its participation in the Balkanmine 2025 Conference. Our experts Lauriane...
    Read More
  • Summer Intern Spotlight ITASCA Minneapolis had another group of excellent summer interns this year across our consulting, software,...
    Read More
  • Seamless Integration of Site Data for Improved Mining Analysis Now Available for IMAT: Seamless Integration of Site Data for Improved Mining Analysis...
    Read More