Proper Orthogonal Decomposition Analysis and Modelling of the wake deviation behind a squareback Ahmed body

TL;DR

This study uses Proper Orthogonal Decomposition to analyze and model the three-dimensional wake deviation behind a squareback Ahmed body, demonstrating the method's effectiveness in capturing flow dynamics and key physical modes.

Contribution

The paper introduces a POD-based low-dimensional model that accurately reproduces the wake deviation dynamics and identifies dominant physical flow modes in the wake of a squareback Ahmed body.

Findings

POD captures the antisymmetric quasi-steady wake deviation mode.

The dominant fluctuating mode corresponds to the 3-D wake deviation.

The wake deviation amplitude is negatively correlated with vortex shedding and drag.

Abstract

We investigate numerically the 3-D flow around a squareback Ahmed body at Reynolds number Re = 104. Proper Orthogonal Decomposition (POD) is applied to a symmetry-augmented database in order to describe and model the flow dynamics. Comparison with experiments at a higher Reynolds number in a plane section of the near-wake at mid-height shows that the simulation captures several features of the experimental flow, in particular the antisymmetric quasi-steady deviation mode. 3-D POD analysis allows us to classify the different physical processes in terms of mode contribution to the kinetic energy over the entire domain. It is found that the dominant fluctuating mode on the entire domain corresponds to the 3-D quasi-steady wake deviation, and that its amplitude is well estimated from 2-D near-wake data. The next most energetic flow fluctuations consist of vortex shedding and bubble pumping mechanisms. It is found that the amplitude of the deviation is negatively correlated with the intensity of the vortex shedding in the spanwise direction and the suction drag coefficient. Finally, we find that despite the slow convergence of the decomposition, a POD-based low-dimensional model reproduces the dynamics of the wake deviation observed experimentally, as well as the main characteristics of the global modes identified in the simulation.