2001
DOI: 10.1007/pl00013289
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic Model for LES Without Test Filtering: Quantifying the Accuracy of Taylor Series Approximations

Abstract: The dynamic model for large-eddy simulation (LES) of turbulent flows requires test filtering the resolved velocity fields in order to determine model coefficients. However, test filtering is costly to perform in LES of complex geometry flows, especially on unstructured grids. The objective of this work is to develop and test an approximate but less costly dynamic procedure which does not require test filtering. The proposed method is based on Taylor series expansions of the resolved velocity fields. Accuracy i… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2004
2004
2023
2023

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(6 citation statements)
references
References 25 publications
0
6
0
Order By: Relevance
“…Furthermore, although results may be independent of the test filter shape, they may not be optimal. 12 Additionally, results can be sensitive to the filter width ratio as will be shown later and as is shown by Chester et al, 13 thus motivating the need for its accurate determination. This sensitivity issue deserves special attention specifically for cases when LES grids are coarsened, leading to stronger subgrid-scale model dissipations.…”
Section: Introductionmentioning
confidence: 84%
“…Furthermore, although results may be independent of the test filter shape, they may not be optimal. 12 Additionally, results can be sensitive to the filter width ratio as will be shown later and as is shown by Chester et al, 13 thus motivating the need for its accurate determination. This sensitivity issue deserves special attention specifically for cases when LES grids are coarsened, leading to stronger subgrid-scale model dissipations.…”
Section: Introductionmentioning
confidence: 84%
“…One possible solution is to approximate the test filter with a derivative-based method, thus eliminating the need for explicit test filtering. This approach, developed by Chester et al [12], approximates test filtering with Taylor series expansions of resolved-scale quantities. Retaining terms up to second order in the expansion, a test-filtered quantity, f, is expressed in terms of the resolved-scale (grid-scale) quantity, f , as:…”
Section: A Approximate Test Filtermentioning
confidence: 99%
“…Next we simplify the dynamic model in line with the approaches described by Pope (2000, p. 623) and Chester et al (2001). Thus, in the following Taylor expansions are used to approximate the tensors L ij and M ij .…”
Section: Subgrid-modelingmentioning
confidence: 99%