Título
Assessing the statistical validity of momentum-deficit-based measurements in turbulent configurationsVersión
Version publicada
Derechos
© 2021 The Author(s)Acceso
Acceso abiertoVersión del editor
https://doi.org/10.1016/j.measurement.2021.109592Publicado en
Measurement Vol. 181. N. artículo 109592, 2021Editor
Elsevier Ltd.Palabras clave
Aerodynamic coefficients
Drag measurement
Turbulence
wind tunnel ... [+]
Drag measurement
Turbulence
wind tunnel ... [+]
Aerodynamic coefficients
Drag measurement
Turbulence
wind tunnel
Statistical analysis
Uncertainty analysis [-]
Drag measurement
Turbulence
wind tunnel
Statistical analysis
Uncertainty analysis [-]
Resumen
An application-agnostic procedure is outlined for checking the validity of momentum-deficit-based drag measurements performed under different turbulent conditions in a wind tunnel. The approach define ... [+]
An application-agnostic procedure is outlined for checking the validity of momentum-deficit-based drag measurements performed under different turbulent conditions in a wind tunnel. The approach defines a two-step methodology: the first stage characterizes the turbulent flowfield generated downstream a passive grid through a set of statistical parameters. Acceptable values for such parameters are determined by means of two criteria: compliance with the threshold value set by an analysis of the experimental uncertainties, and fulfilment of the isotropic condition for ensuring a well-established turbulent flowfield. Those two prerequisites define a set of turbulent configurations for which the momentum-deficit-based technique applies feasibly.
The second stage of the procedure is configuration-specific, and undertakes drag measurements upon a NACA0021 airfoil subjected to a set of different turbulent configurations. It is shown that performing measurements under invalid turbulent conditions leads to inconsistent drag curves, which serves for defining a validity map based on the testable cases. [-]
Sponsorship
Gobierno VascoID Proyecto
GV/Programa predoctoral de formación del personal investigador no doctor 2017-2018/PRE_2017_1_0178/CAPV//Colecciones
- Artículos - Ingeniería [684]
El ítem tiene asociados los siguientes ficheros de licencia: