A second-generation URANS model (STRUCT$-\epsilon$) applied to a Generic Side Mirror and its Impact on Sound Generation

TL;DR

This paper evaluates the second-generation URANS model STRUCT$-psilon$ for predicting flow and noise around a generic side mirror, showing it outperforms hybrid methods and aligns well with LES and experimental data.

Contribution

Introduces and assesses the second-generation URANS model STRUCT$-psilon$ for aeroacoustic prediction of a side mirror, demonstrating improved accuracy and applicability for flow and noise analysis.

Findings

STRUCT$-psilon$ accurately predicts flow separation and vortex shedding.

The model's noise spectra align well with experimental and LES data.

It enables effective spectral POD analysis of flow structures.

Abstract

A generic side mirror can be approximated to the combination of a half cylinder topped with a quarter of sphere. The flow structure in the wake of the side mirror is highly transient and the turbulence plays an important role affecting aeroacoustics through pressure fluctuation. Thus, this geometry is one of the test cases object of several numerical studies in recent years to assess the aerodynamic and aeroacoustic capabilities of the turbulence models. In this context, this study presents how the second-generation URANS close STRUCT$-\epsilon$ is able to properly predict the expected stagnation, flow separation and vortex shedding phenomena. Besides, the predictive accuracy for the noise generation mechanism is evaluated by comparing the spectra of the sound pressure level measured at several static pressure sensors with the numerical results obtained with the STRUCT$-\epsilon$. The response of this turbulence model has overachieved other hybrid methods and is in good agreement with the results from Large-Eddy Simulations or the experiments. To conclude the paper, the applicability of STRUCT$-\epsilon$ to construct a Spectral Proper Orthogonal Decomposition method that helps identifying the most energetic modes to appropriately capture the dominant flow structures is also introduced.