A generalized wall-pressure spectral model for non-equilibrium boundary layers

TL;DR

This paper develops a generalized wall-pressure spectral model for non-equilibrium boundary layers, improving accuracy over existing models especially in flows with strong pressure gradients and separation.

Contribution

The study introduces a new spectral model that accounts for non-equilibrium effects using parameters derived from the velocity profile, addressing limitations of prior models.

Findings

The new model outperforms existing models in adverse pressure gradient flows.

It accurately captures wall-pressure spectra in separated and attached flows.

The model incorporates effects of Reynolds number and pressure gradient history.

Abstract

This study uses high-fidelity simulations (DNS or LES) and experimental datasets to analyse the effect of non-equilibrium streamwise mean pressure gradients (adverse or favourable), including attached and separated flows, on the statistics of boundary layer wall-pressure fluctuations. The datasets collected span a wide range of Reynolds numbers ($Re_\theta$ from 300 to 23,400) and pressure gradients (Clauser parameter from $-0.5$ to 200). The datasets are used to identify an optimal set of variables to scale the wall pressure spectrum: edge velocity, boundary layer thickness, and the peak magnitude of Reynolds shear stress. Using the present datasets, existing semi-empirical models of wall-pressure spectrum are shown unable to capture effects of strong, non-equilibrium adverse pressure gradients, due to inappropriate scaling of wall pressure using wall shear stress, calibration with limited types of flows, and dependency on model parameters based on friction velocity, which reduces to zero at the detachment point. To address these short-comings, a generalized wall-pressure spectral model is developed with parameters that characterize the extent of the logarithmic layer and the strength of the wake. Derived from the local mean velocity profile, these two parameters inherently carry effect of the Reynolds number, as well as those of the non-equilibrium pressure gradient and its history. Comparison with existing models shows that the proposed model behaves well and is more accurate in strong-pressure-gradient flows and in separated-flow regions.