{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/85084"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/85084","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Numerical Simulation of Turbulent Particle Diffusion","abstract":"To accurately simulate particles in wall-bounded flows with the CRW model, a modified Markov chain based on a normalized velocity fluctuation was found to be important to avoid unphysical wall-ward particle fluxes. Also, the incremental drift velocity for the Markov chain (required for inhomogeneous turbulent flows) was extended to include effects of particle inertia and virtual mass to enable simulation for a wide range of Stokes numbers. The CRW results with the finite Stokes incremental drift velocity and the modified Markov chain agreed well the DNS results for long-time diffusion once effects of anisotropy in turbulent kinetic energy, integral time scale, and integral length scale were included.","abstract_html":"To accurately simulate particles in wall-bounded flows with the CRW model, a modified Markov chain based on a normalized velocity fluctuation was found to be important to avoid unphysical wall-ward particle fluxes. Also, the incremental drift velocity for the Markov chain (required for inhomogeneous turbulent flows) was extended to include effects of particle inertia and virtual mass to enable simulation for a wide range of Stokes numbers. The CRW results with the finite Stokes incremental drift velocity and the modified Markov chain agreed well the DNS results for long-time diffusion once effects of anisotropy in turbulent kinetic energy, integral time scale, and integral length scale were included.","abstract_has_math":false,"creators":["Bocksell, Todd Leslie"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":["Loth, Eric"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T22:34:21Z","date_published":"2015-09-25T22:34:21Z","updated_at":"2026-07-22T22:26:24Z","subjects":["Engineering, Aerospace"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3130882"],"render_values":[{"text":"(MiAaPQ)AAI3130882","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/85084","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Loth, Eric"]},{"key":"dc:creator","label":"Author","values":["Bocksell, Todd Leslie"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T22:34:21Z","10000-01-01","2004"]},{"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":["Engineering, Aerospace"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/85084","(MiAaPQ)AAI3130882"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["To accurately simulate particles in wall-bounded flows with the CRW model, a modified Markov chain based on a normalized velocity fluctuation was found to be important to avoid unphysical wall-ward particle fluxes. 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