Solution of the Navier-Stokes Equations by the Finite Element Method Using Reduced Order Modeling
Reduced Order Models (ROM) provide a low-dimensional alternative form of a system of differential equations. Such a form permits faster computation of solutions. In this paper, Poisson's Equation in two dimensions, the Heat Equation in one dimension, and a Nonlinear Reaction-Diffusion equation...
Other Authors: | |
---|---|
Format: | Others |
Language: | English English |
Published: |
Florida State University
|
Subjects: | |
Online Access: | http://purl.flvc.org/fsu/fd/FSU_migr_etd-5352 |
id |
ndltd-fsu.edu-oai-fsu.digital.flvc.org-fsu_183246 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-fsu.edu-oai-fsu.digital.flvc.org-fsu_1832462020-06-16T03:07:15Z Solution of the Navier-Stokes Equations by the Finite Element Method Using Reduced Order Modeling Forinash, Nick (authoraut) Peterson, Janet (professor directing thesis) Plewa, Tomasz (committee member) Shanbhag, Sachin (committee member) Department of Scientific Computing (degree granting department) Florida State University (degree granting institution) Text text Florida State University Florida State University English eng 1 online resource computer application/pdf Reduced Order Models (ROM) provide a low-dimensional alternative form of a system of differential equations. Such a form permits faster computation of solutions. In this paper, Poisson's Equation in two dimensions, the Heat Equation in one dimension, and a Nonlinear Reaction-Diffusion equation in one dimension are solved using the Galerkin formulation of the Finite Element Method (FEM) in conjunction with Newton's Method. Reduced Order Modeling (ROM) by Proper Orthogonal Decomposition (POD) is then used to accelerate the solution of successive linear systems required by Newton's Method. This is done to show the viability of the method on a simple problem. The Navier-Stokes (NS) Equations are introduced and solved by FEM. A ROM using both POD and clustering by Centroidal Voronoi Tesselation (CVT) are then used to solve the NS equations, and the results are compared with the FEM solution. The specific NS problem we consider has inhomogeneous Dirichlet boundary conditions and the treatment of the boundary conditions is explained. The resulting decrease in computation time required for solving the various equations are compared with ROM methods. A Thesis submitted to the Department of Scientific Computing in partial fulfillment of the requirements for the degree of Master of Science. Fall Semester, 2012. October 5, 2012. Finite Element Methods, Navier-Stokes Equations, Nonlinear PDEs, Reduced Order Modeling Includes bibliographical references. Janet Peterson, Professor Directing Thesis; Tomasz Plewa, Committee Member; Sachin Shanbhag, Committee Member. Numerical analysis FSU_migr_etd-5352 http://purl.flvc.org/fsu/fd/FSU_migr_etd-5352 This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them. http://diginole.lib.fsu.edu/islandora/object/fsu%3A183246/datastream/TN/view/Solution%20of%20the%20Navier-Stokes%20Equations%20by%20the%20Finite%20Element%20Method%20Using%20Reduced%20Order%20Modeling.jpg |
collection |
NDLTD |
language |
English English |
format |
Others
|
sources |
NDLTD |
topic |
Numerical analysis |
spellingShingle |
Numerical analysis Solution of the Navier-Stokes Equations by the Finite Element Method Using Reduced Order Modeling |
description |
Reduced Order Models (ROM) provide a low-dimensional alternative form of a system of differential equations. Such a form permits faster computation of solutions. In this paper, Poisson's Equation in two dimensions, the Heat Equation in one dimension, and a Nonlinear Reaction-Diffusion equation in one dimension are solved using the Galerkin formulation of the Finite Element Method (FEM) in conjunction with Newton's Method. Reduced Order Modeling (ROM) by Proper Orthogonal Decomposition (POD) is then used to accelerate the solution of successive linear systems required by Newton's Method. This is done to show the viability of the method on a simple problem. The Navier-Stokes (NS) Equations are introduced and solved by FEM. A ROM using both POD and clustering by Centroidal Voronoi Tesselation (CVT) are then used to solve the NS equations, and the results are compared with the FEM solution. The specific NS problem we consider has inhomogeneous Dirichlet boundary conditions and the treatment of the boundary conditions is explained. The resulting decrease in computation time required for solving the various equations are compared with ROM methods. === A Thesis submitted to the Department of Scientific Computing in partial fulfillment of the requirements for the degree of Master of Science. === Fall Semester, 2012. === October 5, 2012. === Finite Element Methods, Navier-Stokes Equations, Nonlinear PDEs, Reduced Order Modeling === Includes bibliographical references. === Janet Peterson, Professor Directing Thesis; Tomasz Plewa, Committee Member; Sachin Shanbhag, Committee Member. |
author2 |
Forinash, Nick (authoraut) |
author_facet |
Forinash, Nick (authoraut) |
title |
Solution of the Navier-Stokes Equations by the Finite Element Method Using Reduced Order Modeling |
title_short |
Solution of the Navier-Stokes Equations by the Finite Element Method Using Reduced Order Modeling |
title_full |
Solution of the Navier-Stokes Equations by the Finite Element Method Using Reduced Order Modeling |
title_fullStr |
Solution of the Navier-Stokes Equations by the Finite Element Method Using Reduced Order Modeling |
title_full_unstemmed |
Solution of the Navier-Stokes Equations by the Finite Element Method Using Reduced Order Modeling |
title_sort |
solution of the navier-stokes equations by the finite element method using reduced order modeling |
publisher |
Florida State University |
url |
http://purl.flvc.org/fsu/fd/FSU_migr_etd-5352 |
_version_ |
1719319842279915520 |