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Abstract
Thanks to efficient computational capabilities, the numerical predictions of the helicopter rotor Blade Vortex Interaction noise (BVI) have reached an acceptable level of accuracy. Nevertheless, even if the experiment/computation comparisons are generally satisfactory, there still can remain some discrepancies in the comparisons. They can be caused by computational deficiencies or difficulties to accurately represent the actual test conditions. In the aim of reducing these discrepancies, it is possible to analyze the influence of key parameters, but it appears that approaching the solution may be unreachable due to the number of parameters to be tuned. The data assimilation technics were deemed appropriate to investigate their capabilities to improve the numerical predictions. The presented geometric methodology is particularly well adapted to determine the “best” combinations of parameters which allow an improved correlation between the HART-II experimental and ONERA numerical noise carpets, within a moderate computational cost.

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  Improvement of Experiment/Computation BVI Noise Comparisons by Use of a Geometrical Method Applied to Data Assimilation

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