2015
DOI: 10.1007/978-3-319-12886-3_15
|View full text |Cite
|
Sign up to set email alerts
|

Aghora: A High-Order DG Solver for Turbulent Flow Simulations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
29
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 45 publications
(38 citation statements)
references
References 37 publications
0
29
0
Order By: Relevance
“…Considering now the ease of implementation, it is interesting to note that the complexity of computing the residuals corresponding to the refined polynomial space S p+1 h will depend on the numerical implementation of the CFD method. In the case of the Aghora solver, 32 this required the computation and storage of the basis functions for S p+1 h as well as their derivatives on the corresponding set of quadrature points. In general, important modifications of the employed CFD solver might be required to achieve a computationally efficient implementation of this method.…”
Section: Implementation Issues and Computational Costmentioning
confidence: 99%
“…Considering now the ease of implementation, it is interesting to note that the complexity of computing the residuals corresponding to the refined polynomial space S p+1 h will depend on the numerical implementation of the CFD method. In the case of the Aghora solver, 32 this required the computation and storage of the basis functions for S p+1 h as well as their derivatives on the corresponding set of quadrature points. In general, important modifications of the employed CFD solver might be required to achieve a computationally efficient implementation of this method.…”
Section: Implementation Issues and Computational Costmentioning
confidence: 99%
“…However, with the increase in computing power, LES is becoming a feasible technique to underpin the complexity of challenging industrial flows at high-Reynolds numbers, and spectral element methods (also referred to as spectral/hp methods, briefly SEM) are a competitive candidate to improve the performance of the overall computer-aided workflow [45]. In fact, the adoption of SEM in the context of LES, including the use of continuous Galerkin (CG) methods [28,30], standard discontinuous Galerkin (DG) methods [5,21,22,35,47,57,69,73], hybridized DG methods [16,17], spectral difference (SD) methods [33,54] and flux reconstruction (FR) methods [53,70], is emerging as a promising approach to solve complex turbulent flows. First, they allow for high-order discretizations on complex geometries and unstructured meshes.…”
Section: Introductionmentioning
confidence: 99%
“…A natural alternative to the classical LES approach is therefore to use the numerical dissipation of the discretization scheme to account for the dissipation that takes place in the unresolved scales, leading to the so-called Implicit LES (ILES). The ILES approach was first introduced in 1990 by Boris et al [3] and has been successfully applied with a number of different schemes, including finite volume methods [13,15,16], standard [19] and compact [17,46] finite difference methods, spectral difference methods [50], spectral/hp element methods [24], flux reconstruction methods [36], and discontinuous Galerkin methods [12,33,40,47,48,49]. ILES benefits from its easy implementation without a SGS model and currently gains considerable attention from researchers in the computational fluid dynamics community.…”
Section: Introductionmentioning
confidence: 99%
“…At present, ILES of transitional flows using high-order DG methods is limited to Reynolds numbers of 100,000 or less [12,33,40,47,48,49]. It may be attributed to the fact that higher Reynolds number flows would require significantly more computational effort than standard DG methods could afford in most current computing clusters.…”
Section: Introductionmentioning
confidence: 99%