Seshadri, P and Parks, G and Jarrett, J and Shahpar, S (2013) Towards robust design of axial compressors with uncertainty quantification. In: UNSPECIFIED.Full text not available from this repository.
Operational uncertainties such as throttle excursions, varying inlet conditions and geometry changes lead to variability in compressor performance. In this work, the main operational uncertainties inherent in a transonic axial compressor are quantified to deter- mine their effect on performance. These uncertainties include the effects of inlet distortion, metal expansion, ow leakages and blade roughness. A 3D, validated RANS model of the compressor is utilized to simulate these uncertainties and quantify their effect on polytropic efficiency and pressure ratio. To propagate them, stochastic collocation and sparse pseudospectral approximations are used. We demonstrate that lower-order approximations are sufficient as these uncertainties are inherently linear. Results for epistemic uncertainties in the form of meshing methodologies are also presented. Finally, the uncertainties considered are ranked in order of their effect on efficiency loss. © 2012 AIAA.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Divisions:||Div A > Energy|
|Depositing User:||Cron job|
|Date Deposited:||16 Jul 2015 13:22|
|Last Modified:||04 Sep 2015 02:43|