University of Illinois Urbana-Champaign

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
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.
Graduation Semester
2023-05
Type of Resource
Thesis
Copyright and License Information
Copyright 2023 Vincent Iskandar

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