Title: The Uranie platform: an Open-source software for optimisation, meta-modelling and uncertainty analysis,
Abstract: The high-performance computing resources and the constant improvement of both
numerical simulation accuracy and the experimental measurements with which they
are confronted, bring a new compulsory step to strengthen the credence given to
the simulation results: uncertainty quantification. This can have different
meanings, according to the requested goals (rank uncertainty sources, reduce
them, estimate precisely a critical threshold or an optimal working point) and
it could request mathematical methods with greater or lesser complexity. This
paper introduces the Uranie platform, an Open-source framework which is
currently developed at the Alternative Energies and Atomic Energy Commission
(CEA), in the nuclear energy division, in order to deal with uncertainty
propagation, surrogate models, optimisation issues, code calibration... This
platform benefits from both its dependencies, but also from personal
developments, to offer an efficient data handling model, a C++ and Python
interpreter, advanced graphical tools, several parallelisation solutions...
These methods are very generic and can then be applied to many kinds of code
(as Uranie considers them as black boxes) so to many fields of physics as well.
In this paper, the example of thermal exchange between a plate-sheet and a
fluid is introduced to show how Uranie can be used to perform a large range of
analysis. The code used to produce the figures of this paper can be found in
this https URL along with the sources of the
platform.