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.
Python is a general purpose, open-source programming language with good support for scientific and numerical programming. Python is fully documented and has been extended to allow PFC models to be manipulated from Python scripts. Itasca's own scripting language, FISH, continues to be supported and developed.
Python Powered
Control PFC entirely using Python data files and/or using the enhanced interactive IPython console built right into PFC. IPython provides a powerful set of tools, such as:
Scientific Plotting
Create custom publication quality figures using matplotlib, a Python 2D plotting library that produces figures in a variety of hardcopy formats and interactive environments across platforms. Plot types include lines, bars, pie, polar, statistical, contours, fields, and a large number of specialty charts.
Power Computing
Use NumPy for scientific computing with Python for:
Science & Engineering
Advanced, customizable calculations are available via SciPy which builds on the NumPy array object. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers, and other tasks common in science and engineering.
GUI Customization
Pyside provides Python bindings for the Qt library that is used by the PFC graphical interface. With PySide, users can modify, manipulate or extend the PFC GUI, create and control custom GUI panes, including labels, text boxes, pane docking, and command buttons. Streamline your modeling of complex problems by creating custom applications with dedicated user dialogs to input parameters and post-process simulation results.
FISH vs. Python Scripting
The FISH programming environment is still available. Python has the advantage of being faster, easy to use, and has additional functionality. However, an important difference between the Python and FISH programming environments is that the Python state is not connected to the model state or saved in the SAV files (i.e., the Python state is not affected by the NEW or RESTORE commands, and the Python state is not saved in model state files).
A short introduction to Itasca's Particle Flow Code (PFC ) software and our recent integration of Python scripting capabilities.
Narrated by Sacha Emam, PFC Product Manager, Software and Consulting Engineer.