Commit 0c51c664 authored by Christophe Geuzaine's avatar Christophe Geuzaine

new static onelab homepage

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<h1 class="short">ONELAB</h1>
<h1>Open Numerical Engineering LABoratory</h1>
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ONELAB is an open-source, lightweight interface to finite element software. It
is completely free: the default ONELAB software bundle contains the mesh
generator <a href="">Gmsh</a> and the finite element solver
<a href="">GetDP</a>. Many other codes (free or not) can be
easily interfaced as well.
<h2>Give it a try!</h2>
<li>Download the ONELAB software bundle:
<li>Desktop version for <a href="">Windows</a>
(<a href="">32 bit</a>),
<a href="">Linux</a> and
<a href="">MacOS</a>
<li>Mobile version for <a href="">Android</a> and
<a href="">iOS</a>
<li><a href="">Source code</a>
<li>Launch the app <img src="" height=20px>
<li>Open a model:
<li>Desktop version: go to the <code>File/Open</code> menu and select a
GetDP <code>.pro</code> file,
e.g. <code>models/magnetometer/</code>
<li>Mobile version: select one of the preloaded models
<li>Press <code>Run</code>.
<li>... then explore <a href="">other models</a>
<h2>Use existing clients</h2>
<em>Native</em> clients directly embed the ONELAB library:
<li><a href="">GetDP</a>: a finite element solver for
electromagnetism, heat transfer, acoustics and generic PDEs
<li><a href="">Gmsh</a>: a mesh generator and post-processor
(Gmsh also plays the role of ONELAB server)
<li>Onelab/Mobile: GetDP and Gmsh
on <a href="">iPhone, iPad</a>
and <a href="">Android</a>
Other clients (<em>non-native</em>) 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:
<li><a href="">Elmer</a>: a
finite element solver for multi-physic problems developed by CSC
<li><a href="">OpenFOAM</a>:
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.
Here are
some <a href="">useful hints
to efficiently use the ONELAB graphical user interface</a>.
<h2>Develop your own client</h2>
Implement your own native ONELAB clients:
<li><a href="">With
Python</a>: any Python code can become a native ONELAB client
<li><a href="">With C++</a>: how
to create a native C++ ONELAB client
<h2>Technical information</h2>
The ONELAB interface 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. It 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 <em>a priori</em> 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
The ONELAB project was funded by the Walloon Region under
<a href="">WIST3
grant n° 1017086</a> and <em>Fonds de maturation</em> grant n° 1217742 (AWE),
and was sponsored by <a href="">GDTech</a>
and <a href="">Audaxis</a>. Additional funding has been
provided by <a href="">the Belgian Science Policy</a> under
grant IAP P7/02.
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