{"id":{"repo_id":"unr","oai_identifier":"oai:scholarwolf.unr.edu:11714/8522"},"canonical_url":"https://search.dev.ndltd.org/etd/unr/oai:scholarwolf.unr.edu:11714/8522","repository":{"repo_id":"unr","name":"University of Nevada - Reno","base_url":"https://scholarwolf.unr.edu/server/oai/request"},"display":{"title":"Exploratory physics-based turbulent flow modification using distributed computing architectures","abstract":"Turbulent flows and their properties are of great interest in science and engineering. We propose and study the effects of flow modification strategies in three-dimensional incompressible and compressible turbulent flows. For incompressible flows, we present a novel physics-based control design for the selective modification of conserved flow quantities. In particular, we automatically identify forcing structures that selectively alter the energy and helicity of the flow, and the scales at which they are applied. We find that selective helicity modification may excite certain Kelvin (twist) modes within individual vortex tubes. Further, we present python bindings to a supersonic GPU accelerated turbulent shock boundary layer solver in an effort to leverage application of different feedback control techniques in future work. To orchestrate the execution of the hundreds of simulations required in this thesis, we present a distributed computing platform to allow for the scheduling of jobs across a cluster of computers without limitations on shared-memory or shared-filesystems.","abstract_html":"Turbulent flows and their properties are of great interest in science and engineering. We propose and study the effects of flow modification strategies in three-dimensional incompressible and compressible turbulent flows. For incompressible flows, we present a novel physics-based control design for the selective modification of conserved flow quantities. In particular, we automatically identify forcing structures that selectively alter the energy and helicity of the flow, and the scales at which they are applied. We find that selective helicity modification may excite certain Kelvin (twist) modes within individual vortex tubes. Further, we present python bindings to a supersonic GPU accelerated turbulent shock boundary layer solver in an effort to leverage application of different feedback control techniques in future work. To orchestrate the execution of the hundreds of simulations required in this thesis, we present a distributed computing platform to allow for the scheduling of jobs across a cluster of computers without limitations on shared-memory or shared-filesystems.","abstract_has_math":false,"creators":["Karlik, Brooks"],"institution":null,"degree_name":null,"degree_level":"Master's Degree","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Nair, Aditya G"],"committee_chairs":[],"committee_members":["White, Thomas","van Breugel, Floris","Aureli, Matteo"],"year":2023,"date_issued":"2023","date_published":"2023","updated_at":"2026-07-27T21:47:47Z","subjects":["computing","control","shock boundary layer interaction"],"languages":[],"rights":["Creative Commons Attribution-NonCommercial 4.0 United States"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11714/8522","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Nair, Aditya G"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["White, Thomas","van Breugel, Floris","Aureli, Matteo"]},{"key":"dc:creator","label":"Author","values":["Karlik, Brooks"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-06-27T01:12:46Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-06-27T01:12:46Z"]},{"key":"dc:date.issued","label":"Date","values":["2023"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's Degree"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["computing","control","shock boundary layer interaction"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Creative Commons Attribution-NonCommercial 4.0 United States"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11714/8522"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Turbulent flows and their properties are of great interest in science and engineering. We propose and study the effects of flow modification strategies in three-dimensional incompressible and compressible turbulent flows. For incompressible flows, we present a novel physics-based control design for the selective modification of conserved flow quantities. In particular, we automatically identify forcing structures that selectively alter the energy and helicity of the flow, and the scales at which they are applied. We find that selective helicity modification may excite certain Kelvin (twist) modes within individual vortex tubes. Further, we present python bindings to a supersonic GPU accelerated turbulent shock boundary layer solver in an effort to leverage application of different feedback control techniques in future work. To orchestrate the execution of the hundreds of simulations required in this thesis, we present a distributed computing platform to allow for the scheduling of jobs across a cluster of computers without limitations on shared-memory or shared-filesystems."]},{"key":"dc:format","label":"Dc Format","values":["PDF"]},{"key":"dc:title","label":"Title","values":["Exploratory physics-based turbulent flow modification using distributed computing architectures"]}]}],"canonical_facts":{"dc:contributor.advisor":["Nair, Aditya G"],"dc:contributor.committeemember":["White, Thomas","van Breugel, Floris","Aureli, Matteo"],"dc:creator":["Karlik, Brooks"],"dc:date.accessioned":["2023-06-27T01:12:46Z"],"dc:date.available":["2023-06-27T01:12:46Z"],"dc:date.issued":["2023"],"dc:description.abstract":["Turbulent flows and their properties are of great interest in science and engineering. We propose and study the effects of flow modification strategies in three-dimensional incompressible and compressible turbulent flows. For incompressible flows, we present a novel physics-based control design for the selective modification of conserved flow quantities. In particular, we automatically identify forcing structures that selectively alter the energy and helicity of the flow, and the scales at which they are applied. We find that selective helicity modification may excite certain Kelvin (twist) modes within individual vortex tubes. Further, we present python bindings to a supersonic GPU accelerated turbulent shock boundary layer solver in an effort to leverage application of different feedback control techniques in future work. To orchestrate the execution of the hundreds of simulations required in this thesis, we present a distributed computing platform to allow for the scheduling of jobs across a cluster of computers without limitations on shared-memory or shared-filesystems."],"dc:format":["PDF"],"dc:identifier.uri":["http://hdl.handle.net/11714/8522"],"dc:rights":["Creative Commons Attribution-NonCommercial 4.0 United States"],"dc:subject":["computing","control","shock boundary layer interaction"],"dc:title":["Exploratory physics-based turbulent flow modification using distributed computing architectures"],"dc:type":["Thesis"],"thesis:degree_level":["Master's Degree"]},"updated_at":"2026-07-27T21:47:47Z"}