{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/120546"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/120546","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A kriging-enhanced aeroelastic stability prediction tool for radial turbomachinery using piston theory","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01","abstract_has_math":false,"creators":["Iskandar, Vincent"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["Bodony, Daniel J"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05","date_published":"2023-05","updated_at":"2026-07-22T22:24:57Z","subjects":["Aeroelasticity","Turbocharger","Flutter","Vibration","Rom","Cfd","Interpolation","Kriging","Confidence Levels"],"languages":["en","eng"],"rights":["Copyright 2023 Vincent Iskandar"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/120546","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bodony, Daniel J"]},{"key":"dc:creator","label":"Author","values":["Iskandar, Vincent"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05","2023-04-26"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Aeroelasticity","Turbocharger","Flutter","Vibration","Rom","Cfd","Interpolation","Kriging","Confidence Levels"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Vincent Iskandar"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/120546"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A kriging-enhanced aeroelastic stability prediction tool for radial turbomachinery using piston theory"]}]}],"canonical_facts":{"dc:contributor":["Bodony, Daniel J"],"dc:creator":["Iskandar, Vincent"],"dc:date":["2023-05","2023-04-26"],"dc:description":["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","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."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/120546"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Vincent Iskandar"],"dc:subject":["Aeroelasticity","Turbocharger","Flutter","Vibration","Rom","Cfd","Interpolation","Kriging","Confidence Levels"],"dc:title":["A kriging-enhanced aeroelastic stability prediction tool for radial turbomachinery using piston theory"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:57Z"}