scholarly journals Detailed Uncertainty Analysis for Ares I Ascent Aerodynamics Wind Tunnel Database

Author(s):  
Michael Hemsch ◽  
Heather Houlden ◽  
Jeremy Hanke ◽  
Eric Walker
2001 ◽  
Author(s):  
Joel A. Walter ◽  
David J. Pruess ◽  
Gary F. Romberg

2005 ◽  
Author(s):  
Joel A. Walter ◽  
Victor Canacci ◽  
R. K. Rout ◽  
Wayne Koester ◽  
Jack Williams ◽  
...  

2017 ◽  
Vol 2 (1) ◽  
pp. 329-341 ◽  
Author(s):  
Marijn Floris van Dooren ◽  
Filippo Campagnolo ◽  
Mikael Sjöholm ◽  
Nikolas Angelou ◽  
Torben Mikkelsen ◽  
...  

Abstract. This paper combines the research methodologies of scaled wind turbine model experiments in wind tunnels with short-range WindScanner lidar measurement technology. The wind tunnel at the Politecnico di Milano was equipped with three wind turbine models and two short-range WindScanner lidars to demonstrate the benefits of synchronised scanning lidars in such experimental surroundings for the first time. The dual-lidar system can provide fully synchronised trajectory scans with sampling timescales ranging from seconds to minutes. First, staring mode measurements were compared to hot-wire probe measurements commonly used in wind tunnels. This yielded goodness of fit coefficients of 0.969 and 0.902 for the 1 Hz averaged u and v components of the wind speed, respectively, validating the 2-D measurement capability of the lidar scanners. Subsequently, the measurement of wake profiles on a line as well as wake area scans were executed to illustrate the applicability of lidar scanning to the measurement of small-scale wind flow effects. An extensive uncertainty analysis was executed to assess the accuracy of the method. The downsides of lidar with respect to the hot-wire probes are the larger measurement probe volume, which compromises the ability to measure turbulence, and the possible loss of a small part of the measurements due to hard target beam reflection. In contrast, the benefits are the high flexibility in conducting both point measurements and area scanning and the fact that remote sensing techniques do not disturb the flow during measuring. The research campaign revealed a high potential for using short-range synchronised scanning lidars to measure the flow around wind turbines in a wind tunnel and increased the knowledge about the corresponding uncertainties.


2022 ◽  
Author(s):  
Patrick S. Heaney ◽  
David J. Piatak ◽  
Martin K. Sekula ◽  
Francesco Soranna

Author(s):  
Maryann Zelenak

The objectives of this analysis were to establish precision and bias errors for an analog-digital hybrid computer system (DYNADEC) used in the dynamic data editing phase of inlet wind tunnel testing. An uncertainty analysis was initiated to evaluate the system using inlet data from the Aeronautical Systems Center (ASC)/Arnold Engineering Development Center (AEDC) Aeropropulsion System Test Facility (ASTF) Freejet Development Program. Three test points from a subscale freejet test of the F-15 air induction system and three test points from a wind tunnel test of this same F-15 inlet model were selected to represent a wide range of test conditions and turbulence levels. Precision errors of the 40 total pressure probes at the location of the engine face were 1–2% of the 40 total pressure recovery magnitudes. Precision errors of the Pratt and Whitney Ka2 distortion index, the parameter used to edit the data on DYNADEC, were also investigated. These results indicated that Ka2 precision errors decreased with higher turbulence levels. Static bias errors were also computed by sending known signals through the DYNADEC system and measuring the output quantity. Static bias errors were much smaller in comparison to the precision error magnitudes and were considered negligible. This analysis also provided a foundation to evaluate future data sets using this editing system.


Sign in / Sign up

Export Citation Format

Share Document