2018
DOI: 10.1088/1742-6596/1005/1/012012
|View full text |Cite
|
Sign up to set email alerts
|

Effects of Turbulence Model and Numerical Time Steps on Von Karman Flow Behavior and Drag Accuracy of Circular Cylinder

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
1
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 2 publications
0
1
0
Order By: Relevance
“…In this case, a proper turbulence model is the k-ω, since it allows a direct integration to the wall without having to subdivide the flow domain into low-and high-Reynolds-number regions as required by the k-ε turbulence model [10]. Although the SST (Shear Stress Transport) formulation of the k-ω turbulence models has also proved to be valid in the evaluation of the von Karman shedding phenomena [11], a hybrid URANS-scale resolved approach with SAS-SST (Scale Adaptive Simulation-Shear Stress Transport) was preferred for this study. In fact, as reported by Neumann et al [4], the SAS turbulent model has been proven to give good accuracy in frequency prediction, and it results in more realistic force amplitudes compared with other two-equation turbulence models such as the SST.…”
Section: The Numerical Modelmentioning
confidence: 99%
“…In this case, a proper turbulence model is the k-ω, since it allows a direct integration to the wall without having to subdivide the flow domain into low-and high-Reynolds-number regions as required by the k-ε turbulence model [10]. Although the SST (Shear Stress Transport) formulation of the k-ω turbulence models has also proved to be valid in the evaluation of the von Karman shedding phenomena [11], a hybrid URANS-scale resolved approach with SAS-SST (Scale Adaptive Simulation-Shear Stress Transport) was preferred for this study. In fact, as reported by Neumann et al [4], the SAS turbulent model has been proven to give good accuracy in frequency prediction, and it results in more realistic force amplitudes compared with other two-equation turbulence models such as the SST.…”
Section: The Numerical Modelmentioning
confidence: 99%
“…The numerical results agreed further with the experimental findings. Amalia et al [25] identified the best turbulence model by analyzing the flow in a circular cylinder and the impact of time-step size on the flow. According to their findings, the optimal outcome can be achieved with the SST k-ω turbulence model for 2D case and time-step between 0.00025 s and 0.004 s is preferred.…”
Section: Introductionmentioning
confidence: 99%