Probabilistic analysis of compression system stability using importance sampling
Author(s)Kambouchev, Nayden Dimitrov, 1980-
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
David Darmofal and Edward Greitzer.
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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.
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2005.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 87-89).
DepartmentMassachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Massachusetts Institute of Technology
Aeronautics and Astronautics.