Difference between revisions of "Yade"
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'''Information on source code''' |
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* [[Getting_started | Getting started (a Yade beginner experience) (UPDATES)]] |
* [[Getting_started | Getting started (a Yade beginner experience) (UPDATES)]] |
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Revision as of 15:29, 12 June 2010
Yade is an extensible open-source framework for discrete numerical models, focused on Discrete Element Method. The project started as an offspring from SDEC at Grenoble University, now is being developed at multiple research institutes and has active and helpful user community.
The computation parts are written in c++ using flexible object model, allowing independent implementation of new alogrithms, interfaces with other software packages (e.g. flow simulation), data import/export routines. Python can be used to create and manipulate the simulation or for postprocessing.
Detailed reference documentation and theoretical background are here.
Source code and development website (bugs, blueprints, mailing lists) are hosted at launchpad.
This wiki is a general introduction and overview of Yade and its features. It also gives a quick tour of installation and usage (less detailed than in reference documentation).
Yade Community
Overview
Examples
Implemented models and features
- Constitutive Laws
- Lattice Geometrical Model
- Triaxial Test
- Capillary forces in unsaturated materials
- Creep in polyhedral grains packings (snow model)
- Triangulation
- Present more developments here...
Using YADE with GUI
- First steps. Instruction how to start YADE simple simulation
- Explanation how to use graphic YADE interface
- Making videos
- Using Mgpost
Using YADE with Python
- Python3Intro
- Python Primer
- Creating simple plots with python
- Script Parametric Study. Explains how to use yade-$version-multi scripts
- Script Plot Contact Direction Distribution
F.A.Q.
Installation
Development
Version handling
Information on source code
- Adding plugin to the source tree
- How to add third party plugins
- Implicit Builds
- How to build Debian Packages
Debugging
- Introduction to debugging
- Debugging using Kdevelop
- Debugging using Valgrind
- Debugging with Backtrace
- Debugging and speed profiling
- Speed profiling using KCachegrind
- Speed profiling using TimingInfo and TimingDeltas classes
Performance and optimization
- Performance Tuning
- Triaxial Test Parallel
- Benchmark revision1253
- Benchmarks
- Insertion Sort Collider Stride
- Colliders performace
Examples and scripts
- Simple Scene Tutorial
- Simple Scene Cpp
- Simple Scene Python
- ScriptGenerateBoxPacking DRAFT
- ScriptGenerateCylindricalPacking DRAFT
- ScriptUniaxialTensionCompressionTest DRAFT
Other
____TO REMOVE?____
- SharedMaterialProperties
- Release NEWS
- Programming Rules
- Reference documentation (Doxygen and Epydoc))
____TO UPDATE____
____BLUEPRINTS (MOVE TO LP OR REMOVE)____