This training is an introduction to continuous modeling with FLAC2D and FLAC3D. At the end of the course, participants will master the graphical interface, documentation and the main modeling steps. Concepts are illustrated using a tunnel excavation example, from building the model geometry to results analysis. This introductory course provides the foundation for more advanced use of the software, which can be covered in more specific training modules.
In this tutorial we will briefly cover the MINEDW user interface, its components, and the MINEDW Menu with the different options and tools it provides to build numerical models.
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Itasca Denver and Itasca Chile are developing a series of tutorials (in English and Spanish) on the main functions and capabilities of MINEDW 3D groundwater flow modeling software to be published periodically on Itasca Chile's YouTube channel. Subscribe to their YouTube channel and check back for more tutorials.
MINEDW stands out for its modelling speed, as the use of a finite elements mesh of triangular prisms allows for efficient representation of the evolution of mining topographies in time. This type of meshing allows MINEDW extreme flexibility in modeling mine plans, since, based on its vertical mesh adjustment function, new topographies and mining plans can be incorporated and modeled in a matter of days. MINEDW also allows for the incorporation of a Zone of Relaxation (ZOR), in which changes in hydraulic properties are modelled near the excavation surface of mining operations.
MINEDW has been used in more than 70 mining operations around the world, in different aspects of mining hydrogeology and water resources, such as the estimation of pore pressure distributions, the design of dewatering or depressurization systems, the prediction of local and regional environmental hydrogeological impacts, the design of water supply systems, and simulations of the filling of pit lakes after the closure of mining operations. Additionally, its graphical interface is easy to use, and its pre- and post-processing capabilities provide a powerful numerical modeling tool.