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 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, etc. This platform
benefits from both its dependencies and from personal developments, to offer an efficient data handling model, a
C++ and Python interface, advanced graphi graphical tools, several parallelisation solutions, etc. These
methods can then be applied to many kinds of code (considered as black boxes by Uranie) 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.
Domains
Computer Science [cs]
Origin : Files produced by the author(s)
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