POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions
Christoffer Hansen, Xiang IA Yang, Mahdi Abkar

TL;DR
This paper introduces a POD-mode-augmented wall model for LES that improves the prediction of non-equilibrium turbulent flows by incorporating multiple modes, capturing extreme events and pressure gradient effects more accurately.
Contribution
The paper develops a novel wall model combining the law of the wall with a POD-based mode, enhancing non-equilibrium flow modeling in LES.
Findings
Better capture of extreme wall-shear stress events
Improved modeling of non-equilibrium effects due to pressure gradients
Accurate prediction of rapid changes in wall-shear stress
Abstract
Insights gained from modal analysis are invoked for predictive large-eddy simulation (LES) wall modeling. Specifically, we augment the law of the wall (LoW) by an additional mode based on a one-dimensional proper orthogonal decomposition (POD) applied to a 2D turbulent channel. The constructed wall model contains two modes, i.e., the LoW mode and the POD-based mode, and the model matches with the LES at two, instead of one, off-wall locations. To show that the proposed model captures non-equilibrium effects, we perform a-priori and a-posteriori tests in the context of both equilibrium and non-equilibrium flows. The a-priori tests show that the proposed wall model captures extreme wall-shear stress events better than the equilibrium wall model. The model also captures non-equilibrium effects due to adverse pressure gradients. The a-posteriori tests show that the wall model captures the…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Model Reduction and Neural Networks · Fluid Dynamics and Vibration Analysis
