{"id":{"repo_id":"texas","oai_identifier":"oai:repositories.lib.utexas.edu:2152/85321"},"canonical_url":"https://search.dev.ndltd.org/etd/texas/oai:repositories.lib.utexas.edu:2152/85321","repository":{"repo_id":"texas","name":"University of Texas","base_url":"https://repositories.lib.utexas.edu/server/oai/request"},"display":{"title":"Modeling reactive rarefied systems using a novel quasi-particle Boltzmann solver","abstract":"The goal of this work is to build up the capability of Quasi-Particle Simulation (QuiPS), a novel flow solver, such that it can adequately model the rarefied portion of an atmospheric reentry trajectory. Direct Simulation Monte Carlo (DSMC) is the conventional solver for such conditions, but struggles to resolve transient flows, trace species, and high level internal energy states due to stochastic noise. Quasi-Particle Simulation (QuiPS) is a novel Boltzmann solver that describes a system with a discretized, truncated velocity distribution function. The resulting fixed-velocity, variable weight quasi-particles enable smooth variation of macroscopic properties. The distribution function description enables use of a variance reduced collision model, greatly minimizing expense near equilibrium. Improvements made to the method in this work include parallelization of the collision integral routine, modification of the velocity space definition to improve performance and resolution of the distribution function, and the addition of a neutral chemistry model. Chemistry's dependence on the tail of a distribution function necessitates accurate resolution of said tail, a computationally challenging proposition. The effects of these additions are verified and studied through a number of 0D calculations, including simulations for which analytic solutions exist and model simulations intended to capture relevant physics present in more complicated problems. The explicit representation of internal distributions in QuiPS reveals some of the flaws in existing physics models. Variance reduction, a key feature of QuiPS can greatly reduce expense of multi-dimensional calculations, but is only cheaper when the gas composition is near chemical equilibrium.","abstract_html":"The goal of this work is to build up the capability of Quasi-Particle Simulation (QuiPS), a novel flow solver, such that it can adequately model the rarefied portion of an atmospheric reentry trajectory. Direct Simulation Monte Carlo (DSMC) is the conventional solver for such conditions, but struggles to resolve transient flows, trace species, and high level internal energy states due to stochastic noise. Quasi-Particle Simulation (QuiPS) is a novel Boltzmann solver that describes a system with a discretized, truncated velocity distribution function. The resulting fixed-velocity, variable weight quasi-particles enable smooth variation of macroscopic properties. The distribution function description enables use of a variance reduced collision model, greatly minimizing expense near equilibrium. Improvements made to the method in this work include parallelization of the collision integral routine, modification of the velocity space definition to improve performance and resolution of the distribution function, and the addition of a neutral chemistry model. Chemistry's dependence on the tail of a distribution function necessitates accurate resolution of said tail, a computationally challenging proposition. The effects of these additions are verified and studied through a number of 0D calculations, including simulations for which analytic solutions exist and model simulations intended to capture relevant physics present in more complicated problems. The explicit representation of internal distributions in QuiPS reveals some of the flaws in existing physics models. Variance reduction, a key feature of QuiPS can greatly reduce expense of multi-dimensional calculations, but is only cheaper when the gas composition is near chemical equilibrium.","abstract_has_math":false,"creators":["Poondla, Yasvanth Kumar"],"institution":"The University of Texas at Austin","degree_name":"Doctor of Philosophy","degree_level":"Doctoral","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Varghese, Philip L.","Goldstein, David Benjamin, doctor of aeronautics"],"committee_chairs":[],"committee_members":["Raja, Laxminarayan","Liechty, Derek","Moore, Christopher"],"year":2020,"date_issued":"2020-12-04","date_published":"2020-12-04","updated_at":"2026-07-24T05:01:22Z","subjects":["Boltzmann equation","Chemistry","DSMC","Rarefied gas flows","Velocity space","Parallel"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://dx.doi.org/10.26153/tsw/12285"],"render_values":[{"text":"http://dx.doi.org/10.26153/tsw/12285","href":"http://dx.doi.org/10.26153/tsw/12285","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/2152/85321","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Varghese, Philip L.","Goldstein, David Benjamin, doctor of aeronautics"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Raja, Laxminarayan","Liechty, Derek","Moore, Christopher"]},{"key":"dc:creator","label":"Author","values":["Poondla, Yasvanth Kumar"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2021-04-14T15:00:24Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2021-04-14T15:00:24Z"]},{"key":"dc:date.issued","label":"Date","values":["2020-12-04"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Doctoral"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["The University of Texas at Austin"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Boltzmann equation","Chemistry","DSMC","Rarefied gas flows","Velocity space","Parallel"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/2152/85321","http://dx.doi.org/10.26153/tsw/12285"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The goal of this work is to build up the capability of Quasi-Particle Simulation (QuiPS), a novel flow solver, such that it can adequately model the rarefied portion of an atmospheric reentry trajectory. Direct Simulation Monte Carlo (DSMC) is the conventional solver for such conditions, but struggles to resolve transient flows, trace species, and high level internal energy states due to stochastic noise. Quasi-Particle Simulation (QuiPS) is a novel Boltzmann solver that describes a system with a discretized, truncated velocity distribution function. The resulting fixed-velocity, variable weight quasi-particles enable smooth variation of macroscopic properties. The distribution function description enables use of a variance reduced collision model, greatly minimizing expense near equilibrium. Improvements made to the method in this work include parallelization of the collision integral routine, modification of the velocity space definition to improve performance and resolution of the distribution function, and the addition of a neutral chemistry model. Chemistry's dependence on the tail of a distribution function necessitates accurate resolution of said tail, a computationally challenging proposition. The effects of these additions are verified and studied through a number of 0D calculations, including simulations for which analytic solutions exist and model simulations intended to capture relevant physics present in more complicated problems. The explicit representation of internal distributions in QuiPS reveals some of the flaws in existing physics models. Variance reduction, a key feature of QuiPS can greatly reduce expense of multi-dimensional calculations, but is only cheaper when the gas composition is near chemical equilibrium."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Modeling reactive rarefied systems using a novel quasi-particle Boltzmann solver"]}]}],"canonical_facts":{"dc:contributor.advisor":["Varghese, Philip L.","Goldstein, David Benjamin, doctor of aeronautics"],"dc:contributor.committeemember":["Raja, Laxminarayan","Liechty, Derek","Moore, Christopher"],"dc:creator":["Poondla, Yasvanth Kumar"],"dc:date.accessioned":["2021-04-14T15:00:24Z"],"dc:date.available":["2021-04-14T15:00:24Z"],"dc:date.issued":["2020-12-04"],"dc:description.abstract":["The goal of this work is to build up the capability of Quasi-Particle Simulation (QuiPS), a novel flow solver, such that it can adequately model the rarefied portion of an atmospheric reentry trajectory. Direct Simulation Monte Carlo (DSMC) is the conventional solver for such conditions, but struggles to resolve transient flows, trace species, and high level internal energy states due to stochastic noise. Quasi-Particle Simulation (QuiPS) is a novel Boltzmann solver that describes a system with a discretized, truncated velocity distribution function. The resulting fixed-velocity, variable weight quasi-particles enable smooth variation of macroscopic properties. The distribution function description enables use of a variance reduced collision model, greatly minimizing expense near equilibrium. Improvements made to the method in this work include parallelization of the collision integral routine, modification of the velocity space definition to improve performance and resolution of the distribution function, and the addition of a neutral chemistry model. Chemistry's dependence on the tail of a distribution function necessitates accurate resolution of said tail, a computationally challenging proposition. The effects of these additions are verified and studied through a number of 0D calculations, including simulations for which analytic solutions exist and model simulations intended to capture relevant physics present in more complicated problems. The explicit representation of internal distributions in QuiPS reveals some of the flaws in existing physics models. 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