ONELAB (Open Numerical Engineering LABoratory) is a lightweight interface to finite element software for engineering applications. It allows calling sequences of independent clients (e.g. mesh generators, finite element solvers and other related tools) and have them share parameters and modeling information.
Give it a try!
- Download and uncompress the ONELAB bundle for Windows 64 bit / 32 bit, Linux 64 bit / 32 bit or MacOSX (or compile the source code).
- Double-click on the Gmsh executable (gmsh.exe on Windows).
- Load one of the GetDP models (.pro file) through the File/Open menu, e.g. inductor.pro in the models/inductor directory.
- Click on Run.
- ... then explore other models!
You can also test Onelab/Mobile directly on your smartphone or tablet.
Use existing clients
Native clients directly embed the ONELAB library:
- GetDP: a finite element solver for electromagnetism, heat transfer, acoustics and generic PDEs
- Gmsh: a mesh generator and post-processor (Gmsh also plays the role of ONELAB server)
- Onelab/Mobile: GetDP and Gmsh on iPhone, iPad and Android devices
Other clients (non-native) are interfaced with ONELAB by a system of input file pre-processing. The different steps of a simulation (meshing, solving, post-processing) are controlled by a python script. See worked-out examples with:
- Elmer: a finite element solver for multi-physic problems developed by CSC
- OpenFOAM: an open source CFD software package developed by OpenCFD
Any software driven by input data files (e.g. Code_Aster, Abaqus, CalculiX, FreeFem, Gnuplot, ...) can be readily interfaced in the same way.
Develop your own client
Implement your own native ONELAB clients:
- With Python: any Python code can become a native ONELAB client
- With C++: how to create a native C++ ONELAB client
The ONELAB interface is based on an abstraction of the interface to finite element solvers and related tools: for geometry modeling and meshing, for the definition of physical properties, constraints and other solver parameters, and for post-processing.
The implementation is based on a client-server model, with a server-side database and (optional) graphical front-end, and local or remote clients communicating in-memory or through TCP/IP sockets. Contrary to most available solver interfaces, the ONELAB server has no a priori knowledge about any specifics (input file format, syntax, ...) of the clients. In practice, this is made possible by having any simulation preceded by an analysis phase, during which the clients are asked to upload their parameter set to the server.
Native ONELAB clients can be written in C++ or Python, and embed the ONELAB library. For native clients the specification of which data to share is completely dynamic. For non-native clients, the ONELAB server acts as a pre-processor of their input files, which should be instrumented to specify the information to be shared. In all cases the issues of completeness and consistency of the parameter sets are completely dealt with on the client side: the role of ONELAB is limited to data centralization, modification and re-dispatching.