@article{RAHMAN2023, 
author = {Md Mizanur RAHMAN},
title = {Capturing transition and non-transition flows with a new shear stress transport model},
year = {2023},
journal = {Chinese Journal of Aeronautics},
volume = {36},
number = {3},
pages = {121-136},
keywords = {γ - Reθ model, Non-transition, Stress-intensity parameter, SST model, Transition},
url = {https://www.sciopen.com/article/10.1016/j.cja.2022.08.013},
doi = {10.1016/j.cja.2022.08.013},
abstract = {A new Shear Stress Transport (SST) k - ω model is devised to integrate salient features of both the non-transitional SST k - ω model and correlation-based γ - Reθ transition model. An exceptionally simplified approach is applied to extend the New SST (NSST) model capabilities toward transition/non-transition predictions. Bradshaw’s stress-intensity factor  Rb=|−uv¯|/k can be parameterized with the wall-distance dependent Reynolds number  Rey=ky/v; however, as the Rey is replaced by a “flow-structure-adaptive” parameter  Rμ=vT/v, the resulting Rb is capable of capturing various transition phenomena naturally. The prospective stress-intensity parameter  Rb=Rb(Rey,Rμ) is incorporated in the constitutive relations for eddy-viscosity vT and production termPk. The proposed formulation is intrinsically plausible, having a dramatic impact on the prediction of bypass, separation-induced and natural transitions together with non-transitional flows. An extra viscous-production term Pklim is added with the k-equation to ensure proper generation of k at the viscous sublayer when computing separation-induced transition over a Low-Reynolds Number (LRN) airfoil. Results demonstrate that the NSST k - ω model maintains an excellent consistency with both SST k - ω and γ - Reθ models.}
}