Miao, Ling
(2018)
Filter and Grid Resolution Requirements in LES via a Discontinuous Galerkin Solver.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
The discontinuous Galerkin (DG) methodology has proven very effective for large eddy simulation (LES) of various turbulent flows. In LES with a given discretization accuracy, two important parameters are the grid resolution $h$ and the filter size $\Delta$. In most of the previous works, the grid spacing is usually set to be proportional to the specified filter size. In this work, the DG method is combined with a subgrid scale (SGS) closure which is equivalent to that of the filtered density function (FDF). Various $\Delta/h$ ratios for LES of a two-dimensional and three-dimensional temporally developing mixing layer are considered, and a systematic parametric study is conducted to investigate the effects of grid resolution, the filter width size, and the order of the spectral discretization. Comparative assessments are made via the use of high resolution direct numerical simulation (DNS) data.
Share
Citation/Export: |
|
Social Networking: |
|
Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
|
ETD Committee: |
|
Date: |
25 September 2018 |
Date Type: |
Publication |
Defense Date: |
2 July 2018 |
Approval Date: |
25 September 2018 |
Submission Date: |
20 July 2018 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
63 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Swanson School of Engineering > Mechanical Engineering |
Degree: |
PhD - Doctor of Philosophy |
Thesis Type: |
Doctoral Dissertation |
Refereed: |
Yes |
Uncontrolled Keywords: |
Discontinuous Galerkin; Large eddy simulation; LES filter size; Subgrid scale model; Turbulent flows; Turbulence resolution length scale |
Date Deposited: |
25 Sep 2018 16:40 |
Last Modified: |
25 Sep 2018 16:40 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/34951 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |