Probabilistic analysis of compression system stability using importance sampling

The probability of instability is computed via a new approach based on Importance Sampling and a dynamic compression system model. In contrast to ordinary Monte Carlo methods Importance Sampling offers reduced confidence intervals, reduced number of samples and reduced model execution times. The new approach avoids some of the problematic details associated with the traditional stability margin methodology including the additivity, linearity and normality assumptions. It also captures successfully the phase interaction effects between inlet distortion and stationary asymmetric tip clearance. The phase interaction is an example of a case when the stability margin approach fails to capture both the quantitative and qualitative behaviors.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2005

Author dc:creator

• Kambouchev, Nayden Dimitrov, 1980-

Advisor dc:contributor.advisor

• David Darmofal and Edward Greitzer.

• Aeronautics and Astronautics.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/27864

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/27864