2026-09-22T22:09:18Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/120546 2023-09-07 col_2142_5131 col_2142_14800 com_2142_5130 com_2142_14799 com_2142_234

Bodony, Daniel J 2023-05 application/pdf en text Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01 The student, Vincent Iskandar, accepted the attached license on 2023-04-23 at 01:52. The student, Vincent Iskandar, submitted this Thesis for approval on 2023-04-24 at 09:59. This Thesis was approved for publication on 2023-04-26 at 09:32. DSpace SAF Submission Ingestion Package generated from Vireo submission #19118 on 2023-09-01 at 17:21:28 A kriging-enhanced aeroelastic stability prediction tool for radial turbomachinery using piston theory Iskandar, Vincent 2023-04-26 Aeroelasticity Turbocharger Flutter Vibration Rom Cfd Interpolation Kriging Confidence Levels 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. Thesis eng https://hdl.handle.net/2142/120546 Copyright 2023 Vincent Iskandar M.S. Thesis Aerospace Engineering University of Illinois at Urbana-Champaign Aerospace Engineering