Sensitivity Study of Ice Accretion Simulation to Roughness Thermal Correction Model
نویسندگان
چکیده
The effects of atmospheric icing can be anticipated by Computational Fluid Dynamics (CFD). Past studies show that the convective heat transfer influences ice accretion and is itself a function surface roughness. Uncertainty quantification (UQ) could help quantify impact roughness parameters on reliability prediction. This paper aims to uncertainties identify key correction contributing most in Reynolds-Averaged Navier-Stokes (RANS) formulation. Ice simulations over rough flat plate using two thermal models are used construct RANS database. Non-Intrusive Polynomial Chaos Expansion (NIPCE) metamodels developed predict characteristics allow for computation 95% confidence intervals output probability distribution (PDF) sensitivity indexes according their level influence outputs. For one models, influential parameter height, whereas second model it coefficient. In addition, uncertainty freestream temperature has minor compared parameters.
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ژورنال
عنوان ژورنال: Aerospace
سال: 2021
ISSN: ['2226-4310']
DOI: https://doi.org/10.3390/aerospace8030084