{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/121400"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/121400","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Reduced-order modeling of aeroelastic phenomena","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","abstract_has_math":false,"creators":["Fellows, David William"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["Kang, Sang-Guk","Bodony, Daniel J","Goza, Andres","Vakakis, Alexander"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-08","date_published":"2023-08","updated_at":"2026-07-22T22:24:57Z","subjects":["Fluid-structural Interaction","Aeroelasticity","Computational Fluid Dynamics","Data-driven Modeling","Unsteady Aerodynamic Modeling"],"languages":["en","eng"],"rights":["Copyright 2023 David William Fellows"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/121400","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kang, Sang-Guk","Bodony, Daniel J","Goza, Andres","Vakakis, Alexander"]},{"key":"dc:creator","label":"Author","values":["Fellows, David William"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-08","2023-05-23"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Fluid-structural Interaction","Aeroelasticity","Computational Fluid Dynamics","Data-driven Modeling","Unsteady Aerodynamic Modeling"]}]},{"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 David William Fellows"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/121400"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","The student, David Fellows, accepted the attached license on 2023-05-17 at 14:36.","The student, David Fellows, submitted this Dissertation for approval on 2023-05-17 at 14:41.","This Dissertation was approved for publication on 2023-05-23 at 14:29.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19379 on 2023-12-04 at 16:59:42","Traditional methods to identify the aeroelastic stability of turbomachinery have been focused on the use of either experimental investigations of the device or fully coupled fluid-structural simulation techniques. While both methods provide accurate depictions of the underlying stability of the device in question, the time or computational cost associated with obtaining the stability analyses becomes excessive when the aeroelastic stability of the device must be evaluated over multiple operating regimes. In this dissertation, a reduced-order modeling method is developed and presented in order to greatly diminish the numerical expense associated with evaluating aeroelastic stability at a defined operating condition. The method differs from existing low-order approaches in that it leverages the use of piston theory in conjunction with steady-state simulation data from computational fluid dynamics simulations in order to predict the fluid loading that arises in response to the structural deformation. The model is applied to previously-studied, canonical panel flutter configurations to demonstrate the accuracy of the method. The application of the method on the high-pressure turbine of a dual-stage turbocharger is then demonstrated and the stability predictions compared against experimental observations conducted independently by scientists at the Army Research Laboratory. The reduced-order modeling method is confirmed to accurately diagnose the qualitative stability properties of the device with respect to aeroelastic flutter and a discussion regarding methods to properly diagnose the susceptibility of the device to forced response is presented. To address the shortcomings of aerodynamic piston theory in subsonic flow regimes and in modest supersonic flow regimes, a stability method incorporating spatial pressure fluctuation modes learned using dynamic mode decomposition is developed. This method is first applied to two- and three-dimensional flows over beams and panels exhibiting a harmonic response consistent with aeroelastic flutter. The manner in which to learn the leading spatial modes that dominate the pressure response for each configuration is presented and these spatial modes are compared against the spatial modes computed by a boundary element method in each scenario to confirm that the dynamic mode decomposition algorithm indeed learns the correct pressure response. These leading spatial modes are then used to compute the stability of the structures in modest supersonic regimes. The results are compared against separate investigations, both numerical and experimental, that have been previously presented in the literature to confirm that the stability method incorporating approximate pressure fluctuation modes learned from data can accurately predict the onset of aeroelastic flutter."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Reduced-order modeling of aeroelastic phenomena"]}]}],"canonical_facts":{"dc:contributor":["Kang, Sang-Guk","Bodony, Daniel J","Goza, Andres","Vakakis, Alexander"],"dc:creator":["Fellows, David William"],"dc:date":["2023-08","2023-05-23"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","The student, David Fellows, accepted the attached license on 2023-05-17 at 14:36.","The student, David Fellows, submitted this Dissertation for approval on 2023-05-17 at 14:41.","This Dissertation was approved for publication on 2023-05-23 at 14:29.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19379 on 2023-12-04 at 16:59:42","Traditional methods to identify the aeroelastic stability of turbomachinery have been focused on the use of either experimental investigations of the device or fully coupled fluid-structural simulation techniques. While both methods provide accurate depictions of the underlying stability of the device in question, the time or computational cost associated with obtaining the stability analyses becomes excessive when the aeroelastic stability of the device must be evaluated over multiple operating regimes. In this dissertation, a reduced-order modeling method is developed and presented in order to greatly diminish the numerical expense associated with evaluating aeroelastic stability at a defined operating condition. The method differs from existing low-order approaches in that it leverages the use of piston theory in conjunction with steady-state simulation data from computational fluid dynamics simulations in order to predict the fluid loading that arises in response to the structural deformation. The model is applied to previously-studied, canonical panel flutter configurations to demonstrate the accuracy of the method. The application of the method on the high-pressure turbine of a dual-stage turbocharger is then demonstrated and the stability predictions compared against experimental observations conducted independently by scientists at the Army Research Laboratory. The reduced-order modeling method is confirmed to accurately diagnose the qualitative stability properties of the device with respect to aeroelastic flutter and a discussion regarding methods to properly diagnose the susceptibility of the device to forced response is presented. To address the shortcomings of aerodynamic piston theory in subsonic flow regimes and in modest supersonic flow regimes, a stability method incorporating spatial pressure fluctuation modes learned using dynamic mode decomposition is developed. This method is first applied to two- and three-dimensional flows over beams and panels exhibiting a harmonic response consistent with aeroelastic flutter. The manner in which to learn the leading spatial modes that dominate the pressure response for each configuration is presented and these spatial modes are compared against the spatial modes computed by a boundary element method in each scenario to confirm that the dynamic mode decomposition algorithm indeed learns the correct pressure response. These leading spatial modes are then used to compute the stability of the structures in modest supersonic regimes. The results are compared against separate investigations, both numerical and experimental, that have been previously presented in the literature to confirm that the stability method incorporating approximate pressure fluctuation modes learned from data can accurately predict the onset of aeroelastic flutter."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/121400"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 David William Fellows"],"dc:subject":["Fluid-structural Interaction","Aeroelasticity","Computational Fluid Dynamics","Data-driven Modeling","Unsteady Aerodynamic Modeling"],"dc:title":["Reduced-order modeling of aeroelastic phenomena"],"dc:type":["text"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:57Z"}