Learning

Software Tutorials

MINEDW Tutorial (Part 4: Meshing)

In this tutorial we will go over meshing, from the creation of a 2D mesh and how to import it to MINEDW, to the inclusion of topography, layers, and pinch-outs to different areas of interest in the model.

Rockmass Integration

This example describes how to import and use structural data generated by Rockmass Technologies mapping instrumentation.

Bonded Block Model undergoing Damage and Bulking during Simulated Relaxation

Continuum numerical modeling is inherently limited when the rock behavior involves mechanisms such as spalling and bulking. The Bonded Block Model (BBM) approach simulates the initiation of cracks that can coalesce and/or propagate leading to extension and shear fracturing, as well as the rock (e.g., intact, jointed, or veined) strength dependency on confinement.

Technical Papers

Time-Dependent Behavior of Saint-Martin-La-Porte Exploratory Galleries: Field Data Processing and Numerical Modeling of Excavation in Squeezing Rock Conditions

Field monitoring programs (e.g., convergence measurements and stress measurements in the support system) play an important role in following the response of the ground and of the support system during and after excavation. They contribute to the adaptation of the excavation and support installation method and the prediction of the long-term behavior. In the context of the Lyon–Turin link project, an access gallery (SMP2) was excavated between 2003 and 2010, and a survey gallery (SMP4) has been excavated since 2017.

Use of 3DEC to Study Spalling and Deformation associated with Tunnelling at Depth
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.

Latest News
  • ITASCA Strengthens North American Delivery of Integrated Geomechanics and Hydrogeology Solutions Drawing on decades of geomechanical and hydrogeological expertise, ITASCA has announced the formation of ITASCA...
    Read More
  • WEBINAR: Solving Geothermal Challenges with XSite Numerical Modeling ITASCA Software and Baker Hughes are hosting a collaborative webinar to demonstrate how combining advanced...
    Read More
  • Itasca has announced the release of FLAC2D v9 Itasca has announced the release of FLAC2D v9, revolutionizing the way we analyze and predict...
    Read More

Upcoming Events
15 Sept
ITASCA at EUROCK 2026: Advancing Innovation in Rock Engineering
ITASCA is pleased to announce its participation in EUROCK 2026 – ISRM Regional Symposium, taking place from 15–19 September 2026 in Sko... Read More
20 Sept
ITASCA to Participate in CouFrac 2026
ITASCA will be participating in CouFrac 2026, taking place from 20–23 September 2026 in Uppsala, Sweden. The conference brings together... Read More
26 Oct
ITASCA at Slope Stability 2026: Strategic Sponsor and Technical Contributor_2
ITASCA is proud to participate as a Strategic Sponsor in Slope Stability 2026, one of the world’s leading international symposiums focu... Read More