Open this publication in new window or tab >>2010 (English)In: Proceedings of the ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference: August 15-18, 2010, Montreal, Quebec, Canada, ASME, the American Society of Mechanical Engineers , 2010, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]
We demonstrate a technique to evaluate the aerodynamic robustness of a given blade profile which it is exposed to stochastic geometrical variation. The technique is based on random fields, with geometrical deviations continuously defined over the entire structure, with a prescribed statistical distribution function and a given correlation between these deviations. Control points are defined on the blade surface to model the blade geometry disturbances. At each control point a stochastic deviation is defined, which acts in the normal direction of the blade. By modeling disturbances in the normal direction instead of in the separate Cartesian directions, we automatically reduce the number of stochastic variables by a factor two. The perturbation variables are transformed via Karhunen-Loève eigenvalue decomposition, giving stochastically independent variables. The robustness is finally estimated by a Monte Carlo simulation, where computational fluid dynamic simulations are performed to evaluate the resulting change in blade performance for given geometrical perturbations.
Place, publisher, year, edition, pages
ASME, the American Society of Mechanical Engineers, 2010
Keywords
aerodynamic robustness stochastic geometrical variation deviation perturbations random fields cfd Monte Carlo
National Category
Computational Mathematics
Research subject
ENGINEERING, Mathematics
Identifiers
urn:nbn:se:hv:diva-3146 (URN)
Conference
ASME 2010 International Design Engineering Technical Conferences & Computers and Information in Engineer
Projects
KK-stiftelsens projekt 2005/0249, Optimeringsmetoder för robust design av turbomaskinblad
Note
CD-ROM. DETC2010-28261
2011-01-272011-01-272019-11-21Bibliographically approved