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pro vyhledávání: '"Marrel, A"'
Nowadays, numerical models are widely used in most of engineering fields to simulate the behaviour of complex systems, such as for example power plants or wind turbine in the energy sector. Those models are nevertheless affected by uncertainty of dif
Externí odkaz:
http://arxiv.org/abs/2307.01111
In decommissioning projects of nuclear facilities, the radiological characterisation step aims to estimate the quantity and spatial distribution of different radionuclides. To carry out the estimation, measurements are performed on site to obtain pre
Externí odkaz:
http://arxiv.org/abs/2305.07314
Numerical simulators are widely used to model physical phenomena and global sensitivity analysis (GSA) aims at studying the global impact of the input uncertainties on the simulator output. To perform GSA, statistical tools based on inputs/output dep
Externí odkaz:
http://arxiv.org/abs/2212.12435
Autor:
Marrel, Amandine, Iooss, Bertrand
Publikováno v:
In Reliability Engineering and System Safety July 2024 247
Autor:
Marrel, Amandine, Iooss, Bertrand
Publikováno v:
In Reliability Engineering and System Safety July 2024 247
In the framework of risk assessment in nuclear accident analysis, best-estimatecomputer codes, associated to a probabilistic modeling of the uncertain input variables,are used to estimate safety margins. A first step in such uncertainty quantificatio
Externí odkaz:
http://arxiv.org/abs/2004.04663
Autor:
Nadjem, Alexandre, Torres-Moreno, Juan-Manuel, El-Bèze, Marc, Marrel, Guillaume, Bonte, Benoît
Publikováno v:
Digital Tools & Uses Congress (DTUC '18), pp 1--4, 2018, Paris, France
Nobody knows what one's do in the future and everyone will have had a different answer to the question : how do you see yourself in five years after your current job/diploma? In this paper we introduce concepts, large categories of fields of studies
Externí odkaz:
http://arxiv.org/abs/2001.10613
Global sensitivity analysis (GSA) of numerical simulators aims at studying the global impact of the input uncertainties on the output. To perform the GSA, statistical tools based on inputs/output dependence measures are commonly used. We focus here o
Externí odkaz:
http://arxiv.org/abs/1902.07030
Dependence measures based on reproducing kernel Hilbert spaces, also known as Hilbert-Schmidt Independence Criterion and denoted HSIC, are widely used to statistically decide whether or not two random vectors are dependent. Recently, non-parametric H
Externí odkaz:
http://arxiv.org/abs/1902.06441
Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
Autor:
Iooss, Bertrand, Marrel, Amandine
In the framework of the estimation of safety margins in nuclear accident analysis, a quantitative assessment of the uncertainties tainting the results of computer simulations is essential. Accurate uncertainty propagation (estimation of high probabil
Externí odkaz:
http://arxiv.org/abs/1812.11335