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.

• Detailed reference documentation and theoretical background → sphinx.

• Source code and development website → launchpad (bugs, blueprints, mailing lists).

• This wiki is a general introduction and overview of Yade and its features. It also gives a quick tour of installation and usage (see details in reference documentation).

Yade Community

• NEWS
• Contact
• Publications → sphinx (convert to bibtex; more useful for paper writers as well; see also message on the conversion)
• Who Is Doing What
• Authors and contributors (move to sphinx, progressively)
• Yade history (update & move to sphinx)
• Future plans
• We need your help!

Overview

Examples

• Simulation examples
• Screenshots and videos

Features

• Constitutive Laws (sphinx link?)
• Lattice Geometrical Model
• Triaxial Test
• Capillary forces in unsaturated materials
• Triangulation
• Using Mgpost
• Present more developments here...

F.A.Q.

• Frequently asked questions on YADE

Installation

• Installation. Common information
  • Installation details
  • YADE installation on Debian, Ubuntu/Kubuntu
• New to Linux?

Development

Version handling

• Quick Bazaar tutorial
• Tracking changes using kompare

Information on source code

• Using Kdevelop4
• 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 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

 Compilation with LLVM/clang

• Colliders performace

Other

• Logo
• Help for editing this Wiki

Draft pages

• Creep in polyhedral grains packings (snow model)
• Documentation enhancements

Removed

• Removed Pages