A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations
dc.contributor.author | Park, Dylan | en |
dc.contributor.committeechair | Iliescu, Traian | en |
dc.contributor.committeemember | Liu, Honghu | en |
dc.contributor.committeemember | Sun, Shu Ming | en |
dc.contributor.department | Mathematics | en |
dc.date.accessioned | 2023-05-16T08:01:08Z | en |
dc.date.available | 2023-05-16T08:01:08Z | en |
dc.date.issued | 2023-05-15 | en |
dc.description.abstract | In this thesis we propose, analyze, and investigate numerically a novel two-level Galerkin reduced order model (2L-ROM) for the efficient and accurate numerical simulation of the steady Navier-Stokes equations. In the first step of the 2L-ROM, a relatively low-dimensional nonlinear system is solved. In the second step, the Navier-Stokes equations are linearized around the solution found in the first step, and a higher-dimensional system for the linearized problem is solved. We prove an error bound for the new 2L-ROM and compare it to the standard Galerkin ROM, or one-level ROM (1L-ROM), in the numerical simulation of the steady Burgers equation. The 2L-ROM significantly decreases (by a factor of 2 and even 3) the 1L-ROM computational cost, without compromising its numerical accuracy. | en |
dc.description.abstractgeneral | In this thesis we introduce a new method for efficiently and accurately simulating fluid flow, the Navier-Stokes equations, called the two-level Galerkin reduced order model (2L-ROM). The 2L-ROM involves solving a relatively low-dimensional nonlinear system in the first step, followed by a higher-dimensional linearized system in the second step. We show that this method produces highly accurate results while significantly reducing computational costs compared to previous methods. We provide a comparison between the 2L-ROM and the standard Galerkin ROM, or one-level ROM (1L-ROM), by modeling the steady Burgers equation, as an example. Our results demonstrate that the 2L-ROM reduces the computational cost of the 1L-ROM by a factor of 2 to 3 without sacrificing accuracy. | en |
dc.description.degree | Master of Science | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:36715 | en |
dc.identifier.uri | http://hdl.handle.net/10919/115058 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Reduced Order Modeling | en |
dc.subject | Two-Level | en |
dc.subject | Numerical Analysis | en |
dc.subject | Scientific Computing | en |
dc.title | A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations | en |
dc.type | Thesis | en |
thesis.degree.discipline | Mathematics | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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