report · 2004
Verification of Simulation Results Using Scale Model Flight Test Trajectories
Cited by 5Abstract and details only
Abstract
Abstract : The objective of this effort was to compare limited amounts of scale model trajectory data with appropriate full-scale data. The scale model data was scaled up to equivalent full-scale conditions. Two Degree-of-Freedom (2-DOF) trajectories and calculated miss-distances were compared to full-scale data. Likely error sources in the scale test process were identified. Simulation was used to estimate the effects of these errors on the trajectory. Simulation trends were used to estimate the scale trajectory without these errors. A second compromise scaling law was investigated as a possible improvement. For ejector-driven events at minimum sideslip, the most important variables for scale model construction are the mass moment of inertia and ejector forces. For these events, the pitch motion and resulting miss-distance calculations correspond well with the full-scale events. Additional testing is required to enable a thorough uncertainty analysis of the scale model test data, especially for sideslip conditions.
Cite this paper
Obermark, J. (2004). Verification of Simulation Results Using Scale Model Flight Test Trajectories. https://doi.org/10.21236/ada422954
Obermark, Jeff. “Verification of Simulation Results Using Scale Model Flight Test Trajectories.” 2004, https://doi.org/10.21236/ada422954.
Obermark, Jeff. 2004. “Verification of Simulation Results Using Scale Model Flight Test Trajectories.” https://doi.org/10.21236/ada422954.
Obermark, J. (2004) ‘Verification of Simulation Results Using Scale Model Flight Test Trajectories’. Available at: https://doi.org/10.21236/ada422954.
@article{obermark2004verification,
title = {{Verification of Simulation Results Using Scale Model Flight Test Trajectories}},
author = {Obermark, Jeff},
year = {2004},
doi = {10.21236/ada422954}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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