A kriging-enhanced aeroelastic stability prediction tool for radial turbomachinery using piston theory
Iskandar, Vincent
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https://hdl.handle.net/2142/120546
Description
Title
A kriging-enhanced aeroelastic stability prediction tool for radial turbomachinery using piston theory
Author(s)
Iskandar, Vincent
Issue Date
2023-04-26
Director of Research (if dissertation) or Advisor (if thesis)
Bodony, Daniel J
Department of Study
Aerospace Engineering
Discipline
Aerospace Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Aeroelasticity
Turbocharger
Flutter
Vibration
Rom
Cfd
Interpolation
Kriging
Confidence Levels
Language
eng
Abstract
Aircraft intermittent combustion engines often incorporate turbochargers adapted from ground-based applications to improve their efficiency and performance. These turbochargers operate in off-design conditions and experience blade failures brought on by aerodynamically-induced blade vibrations. A previously developed reduced-order model leveraging piston theory to compute the aeroelastic stability of general fluid-structural configurations is first presented and summarized. The reduced-order model has been applied to the high-pressure turbine of a dual-stage turbocharger and the results are reviewed as a baseline for new predictions considered in this work. For each operating condition that is investigated, a computational fluid dynamic simulation must be performed to inform the fluid loading predicted by piston theory. Interpolation-based approaches are considered to minimize the numerical expense associated with this requirement. The Gaussian-based Kriging interpolation method is presented and explored. The method provides more accurate estimates for the non-linear behavior of the quantities of interest. Kriging also estimates uncertainty and provides confidence intervals as part of the interpolation process.
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