{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1906"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1906","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Study of two-way coupled particle laden turbulent flow over a backward-facing step using large-eddy simulation","abstract":"Large-eddy simulation (LES) is a computationally viable strategy to study particle-laden turbulent flows in practically relevant configurations, although modeling challenges need to be addressed for improved predictive capabilities. In this study, we perform a comprehensive assessment of subgrid-scale (SGS) models for LES by considering a two-way coupled particle-laden turbulent flow over a backward-facing step. We consider dynamic eddy viscosity, wall-adapting local eddy viscosity (WALE), and dynamic one-equation models for the closure of the SGS stress tensor, and the random walk (RW) and the differential filter (DF) based models for the subgrid dispersion. The assessment of subgrid models is carried out by comparison of simulation results against the available experimental data. Based on the assessment studies, the WALE model for the SGS stress tensor and the RW model for the subgrid dispersion are considered to examine the effects of inertia, coupling, and polydispersity on the statistics of carrier and dispersed phases.","abstract_html":"Large-eddy simulation (LES) is a computationally viable strategy to study particle-laden turbulent flows in practically relevant configurations, although modeling challenges need to be addressed for improved predictive capabilities. In this study, we perform a comprehensive assessment of subgrid-scale (SGS) models for LES by considering a two-way coupled particle-laden turbulent flow over a backward-facing step. We consider dynamic eddy viscosity, wall-adapting local eddy viscosity (WALE), and dynamic one-equation models for the closure of the SGS stress tensor, and the random walk (RW) and the differential filter (DF) based models for the subgrid dispersion. The assessment of subgrid models is carried out by comparison of simulation results against the available experimental data. Based on the assessment studies, the WALE model for the SGS stress tensor and the RW model for the subgrid dispersion are considered to examine the effects of inertia, coupling, and polydispersity on the statistics of carrier and dispersed phases.","abstract_has_math":false,"creators":["Johnston, Timothy"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Ranjan, Reetesh","Sreenivas, Kidambi; Elliott, Trevor; Arabshahi, Abdollah","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:47:06Z","subjects":["Multiphase flows--Mathematical models","Turbulence"],"languages":["English","eng"],"rights":[],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/734","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Ranjan, Reetesh","Sreenivas, Kidambi; Elliott, Trevor; Arabshahi, Abdollah","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Johnston, Timothy"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-12-01T08:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Multiphase flows--Mathematical models","Turbulence"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/734"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Mechanical Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["Large-eddy simulation (LES) is a computationally viable strategy to study particle-laden turbulent flows in practically relevant configurations, although modeling challenges need to be addressed for improved predictive capabilities. In this study, we perform a comprehensive assessment of subgrid-scale (SGS) models for LES by considering a two-way coupled particle-laden turbulent flow over a backward-facing step. We consider dynamic eddy viscosity, wall-adapting local eddy viscosity (WALE), and dynamic one-equation models for the closure of the SGS stress tensor, and the random walk (RW) and the differential filter (DF) based models for the subgrid dispersion. The assessment of subgrid models is carried out by comparison of simulation results against the available experimental data. Based on the assessment studies, the WALE model for the SGS stress tensor and the RW model for the subgrid dispersion are considered to examine the effects of inertia, coupling, and polydispersity on the statistics of carrier and dispersed phases."]},{"key":"dc:title","label":"Title","values":["Study of two-way coupled particle laden turbulent flow over a backward-facing step using large-eddy simulation"]}]}],"canonical_facts":{"dc:contributor":["Ranjan, Reetesh","Sreenivas, Kidambi; Elliott, Trevor; Arabshahi, Abdollah","College of Engineering and Computer Science"],"dc:creator":["Johnston, Timothy"],"dc:date":["2021-12-01T08:00:00Z"],"dc:description":["Dept. of Mechanical Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["Large-eddy simulation (LES) is a computationally viable strategy to study particle-laden turbulent flows in practically relevant configurations, although modeling challenges need to be addressed for improved predictive capabilities. In this study, we perform a comprehensive assessment of subgrid-scale (SGS) models for LES by considering a two-way coupled particle-laden turbulent flow over a backward-facing step. We consider dynamic eddy viscosity, wall-adapting local eddy viscosity (WALE), and dynamic one-equation models for the closure of the SGS stress tensor, and the random walk (RW) and the differential filter (DF) based models for the subgrid dispersion. The assessment of subgrid models is carried out by comparison of simulation results against the available experimental data. Based on the assessment studies, the WALE model for the SGS stress tensor and the RW model for the subgrid dispersion are considered to examine the effects of inertia, coupling, and polydispersity on the statistics of carrier and dispersed phases."],"dc:identifier":["https://scholar.utc.edu/theses/734"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Multiphase flows--Mathematical models","Turbulence"],"dc:title":["Study of two-way coupled particle laden turbulent flow over a backward-facing step using large-eddy simulation"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:47:06Z"}