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Identification and Quantification of Simulation Uncertainties
The Identification and Quantification of the simulation uncertainties associated to the various applications to be
considered by the NODESIM-CFD industrial partners forms the main building block of the project, as this information is required at the individual discipline level as well as at the integrated system level. It will provide the basis for the classification of the various types of uncertainties that are encountered in the considered applications and will guide the selection for the best adapted non-deterministic methods, as the non-deterministic methodology to be selected for a given application will depend on the nature of the uncertainty parameters.
The current practice of CFD simulations is based on deterministic parameters such as fixed boundary or initial
conditions, fixed geometry and physical properties, fixed physical model parameters, etc. However, these conditions are not generally known precisely and are attached with unavoidable error levels, the nature of which and their amplitudes have to be evaluated out of the industrial practical experience of the manufacturers and industrial end-users.
The following information has to be collected and synthesised in this task.
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Evaluation of the “modelling” uncertainties associated with physical models, transport properties, source terms associated to the partners application cases
Specification of the nature of the parameter and model uncertainties (interval limits, probability density distributions, fuzzy logic sets,…)
Quantification of the range of the parameter and model uncertainties (such as amplitude and standard deviations
for probabilistic uncertainties), based on all possible sources of information, including experimental data, analytical estimates, results from computational processes.
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