Computational Fluid Dynamics: Modeling Turbulence in Complex Systems
DOI:
https://doi.org/10.66238/fsrma26Keywords:
Computational Fluid Dynamics, Turbulence Modeling, Reynolds- Averaged Navier-Stokes (RANS), Direct Numerical Simulation (DNS)Abstract
Computational Fluid Dynamics (CFD) has emerged as a powerful tool for analyzing and predicting fluid behavior in complex systems, particularly in scenarios involving turbulent flows. Turbulence is a highly nonlinear and chaotic phenomenon that poses significant challenges in its modeling and simulation. This paper presents a comprehensive review of CFD techniques applied to turbulence modeling, with a focus on their application in complex systems such as aerodynamics, heat transfer, and environmental flow analysis. Different turbulence models, including Reynolds-Averaged Navier-Stokes (RANS), Large Eddy Simulation (LES), and Direct Numerical Simulation (DNS), are discussed in detail, with an evaluation of their strengths, limitations, and suitability for different types of flow configurations. The paper further investigates the use of CFD in predicting turbulent behaviors in real-world applications, including energy systems, automotive design, and atmospheric modeling. The paper concludes by highlighting current advancements and future directions in turbulence modeling within the domain of CFD.
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