نوع مقاله : مقاله پژوهشی
نویسندگان
1 پژوهشگر،شرکت نوفناوران پژوهش محور کوثر،مشهد،ایران
2 استادیار،دانشگاه جامع امام حسین (ع)، تهران، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Most fluid systems involve turbulent flows, which require the use of turbulence models for numerical simulation. These models are generally classified into two main groups, namely Reynolds-Averaged Navier-Stokes (RANS) models and Large Eddy Simulation (LES) models. Despite their high accuracy, existing turbulence models typically involve significant computational costs. In this study, a novel and accurate method with low computational complexity is proposed for modeling subgrid scales based on fractal theory within the LES framework. This model belongs to the category of non-eddy-viscosity models and operates through the artificial reconstruction of the velocity field. It has been implemented within the open-source OpenFOAM package. The proposed model utilizes simple assumptions to derive subgrid effects from the behavior of larger-scale grid eddies. Fractal interpolation is employed to improve accuracy and reduce computational costs. The main innovation of the present study is the development of a new and simplified subgrid-scale model utilizing fractal interpolation, making it more efficient for use within the LES approach. To validate the model’s capabilities, turbulent flow in a three-dimensional periodic channel at various Reynolds numbers has been simulated. Turbulent flow parameters have been accurately predicted and compared with strong subgrid-scale (SGS) models such as the Dynamic Smagorinsky Model (DSM) and the Deardorff Stress Model, as well as with a model-free laminar flow solution. The results indicate that the proposed model can significantly reduce computational costs while maintaining the required accuracy.
کلیدواژهها [English]
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