Difference between revisions of "Yade"
From Yade
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* [https://launchpad.net/yade/+announcements NEWS] |
* [https://launchpad.net/yade/+announcements NEWS] |
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* [[Authors_and_contributors | Authors and contributors]] |
* [[Authors_and_contributors | Authors and contributors]] |
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+ | * [[https://yade-dem.org/doc/citing.html Citing Yade in publications]] |
* [[Contact | Contact]] |
* [[Contact | Contact]] |
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* [https://www.yade-dem.org/sphinx/publications Publications] |
* [https://www.yade-dem.org/sphinx/publications Publications] |
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Revision as of 19:31, 11 February 2011
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.
- 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 (for more details, see manuals and reference documentation).
Yade Community
- NEWS
- Authors and contributors
- [Citing Yade in publications]
- Contact
- Publications
- Who Is Doing What
- Future plans
- We need your help!
Overview
Examples
Features
- Constitutive Laws (sphinx link?)
- Lattice Geometrical Model
- Triaxial Test
- Capillary forces in unsaturated materials
- Triangulation
- Using Mgpost
- From X-ray tomography to DEM (snow model)
- Present more developments here...
F.A.Q.
Installation
Development
Version handling
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
- Colliders performace
- Compilation with LLVM/clang
Other
Draft pages