Learning

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Software Tutorials

FLAC3D 7.0 Unstructured Mesh Tutorial

A tutorial showing how to create an unstructured mesh in FLAC3D 7.0 using the extruder pane.

FLAC3D 6.0 Model Generation using the Building Blocks and Geometric Data Sets

FLAC3D 7 0 Cutting Tool Tutorial

This tutorial will show how to use the Plot Item Cutting Tool in FLAC3D 7. Creating cut plans is useful for seeing inside 3D model plots. FLAC3D cutting planes include a single-surface plane, a double-surface wedge, and a three-surface octant.

Technical Papers

Use of a Chemical Transport Code for the Prediction of Gold Heap Leach Production

Itasca Denver, Inc., (Itasca) in conjunction with Newmont Mining Corporation (NMC) developed a numerical model to estimate gold (Au) production from NMC’s heap-leach operations.

GPR-inferred fracture aperture widening in response to a high-pressure tracer injection test at the Äspö Hard Rock Laboratory, Sweden

We assess the performance of the Ground Penetrating Radar (GPR) method in fractured rock formations of very low transmissivity (e.g. T ≈ 10−9–10−10 m2/s for sub-mm apertures) and, more specifically, to image fracture widening induced by high-pressure injections. A field-scale experiment was conducted at the Äspö Hard Rock Laboratory (Sweden) in a tunnel situated at 410 m depth. The tracer test was performed within the most transmissive sections of two boreholes separated by 4.2 m. The electrically resistive tracer solution composed of deionized water and Uranine was expected to lead to decreasing GPR reflections with respect to the saline in situ formation water.

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.