Yade
From Yade
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.
This wiki contains general discussions and overview of Yade and modules. Users are encouraged to introduce themselves present their work here.
Detailed reference documentation and theoretical background are here.
Source code and development website (bugs, blueprints, mailing lists) are hosted by launchpad.
Overview
- Simulation examples
- Screenshots and videos
- First steps. Instruction how to start YADE simple simulation
- Frequently asked questions (FAQ) on YADE
Yade Community
- Publications
- Contact
- News
- Release NEWS
- Authors and contributors
- Who Is Doing What
- Yade history
- Future plans
Using YADE
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
Implemented models
- Constitutive Laws
- Lattice Geometrical Model
- Triaxial Test
- Capillary forces in unsaturated materials
- Creep in polyhedral grains packings (snow model)
- Triangulation
Installation
Development
Version handling
- Quick Bazaar tutorial
- Version Numbering
- Tracking changes using kompare
- Reference documentation (Doxygen and Epydoc))
Information on source code
- Adding plugin to the source tree
- How to add third party plugins
- Programming Rules
- 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