| Autor: |
Heidi L. Wilkin, Mark A. Hagenmaier, Eswar Josyula, Jonathan M. Burt, Dean Eklund |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference. |
| DOI: |
10.2514/6.2014-3844 |
| Popis: |
A numerical framework is presented for CFD-based uncertainty quantification (UQ) involving propagation of combined aleatory and epistemic uncertainties to relevant output quantities, with intended application to scramjet inlet analysis. Latin hypercube sampling routines are used in combination with surrogate response surface methodology and nested Monte Carlo sampling to generate probability boxes and other UQ results based on CFD output data. For a demonstration case involving subscale Mach 6 semi-freejet testing of an inward turning inlet configuration, a total of 21 CFD simulations are performed, and probability boxes are computed for three output quantities through consideration of four different input uncertainties. Global sensitivity analysis calculations are also performed to assess relative contributions of each input uncertainty. For the current demonstration case, we find Mach number uncertainty from thermal expansion of the facility nozzle to be a dominant contributor to uncertainty in the inlet mass flow rate, while mounting angle uncertainties account for large contributions to uncertainty in wall pressure at the isolator throat. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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