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Journals / Havacılık ve Uzay Teknolojileri Dergisi / 2004 / Cilt: 1 - Sayı: 4

Turbulence modeling for computational fluid dynamics, Part I: Conceptual outlook[

Murat UYGUN
Seyhan ONBAŞIOĞLU
Suat AVCI
Pages
19–26
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the second part, we will present some key solutions with various turbulence models to provide more details.

📌 3 Key Takeaways

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Objective & Hypothesis:The motivations like economics, and in house availability of powerful computers advocates the use of numerical methods as a complementary tool for experiments.
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Key Findings & Data:Resolving all time and length scales as in the case of Direct Numerical Simulation (DNS), computational solutions are equivalent to experimental ones.
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Conclusion & Impact:In the second part, we will present some key solutions with various turbulence models to provide more details.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The motivations like economics, and in house availability of powerful computers advocates the use of numerical methods as a complementary tool for experiments. Resolving all time and length scales as in the case of Direct Numerical Simulation (DNS), computational solutions are equivalent to experimental ones. However, as a result of memory limitations, even in supercomputers, most of engineering problems encountered in nature can not be attained numerically by means of DNS. Therefore, a large variety of turbulence models are developed in order to account for the effect of turbulence. Large Eddy Simulation (LES) is at the highest level in modeling. Its modeling concept is based on the computation of large energy-carrying structures and modeling the small structures. LES is computationally cheaper than DNS and enables the solution of complex flows. Resulting subgrid-scale models are simpler in comparison to models for Reynolds-averaged Navier-Stokes equations (RANS), which build second level in turbulence modeling. There is no unique turbulence model that applies to wide range of flows encountered in nature. Hence, modeling requires that it must be verified by experiment. This paper is the first part of two. In this part, we present conceptual view of turbulence modeling concepts in order to provide a perspective for those unfamiliar with the current status and a basis for those new in this field. In the second part, we will present some key solutions with various turbulence models to provide more details.

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Cite This Article

UYGUN, M., ONBAŞIOĞLU, S., AVCI, S. (2004). Turbulence modeling for computational fluid dynamics, Part I: Conceptual outlook[. Havacılık ve Uzay Teknolojileri Dergisi, Cilt: 1 - Sayı: 4, 19–26. https://ajindex.com/articles/205882

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References (1)

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