A kriging-enhanced aeroelastic stability prediction tool for radial turbomachinery using piston theory

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Aerospace Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2023

Author dc:creator

• Iskandar, Vincent

Contributors dc:contributor

• Bodony, Daniel J

• Aeroelasticity
• Turbocharger
• Flutter
• Vibration
• Rom
• Cfd
• Interpolation
• Kriging
• Confidence Levels

Statement dc:rights

• Copyright 2023 Vincent Iskandar

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/120546

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F120546