Studying propagating turbulent structures in the near wake of a sphere using Hilbert proper orthogonal decomposition

TL;DR

This study compares Hilbert proper orthogonal decomposition (HPOD) with traditional POD to identify propagating turbulent structures in a sphere wake, proposing a more efficient method for analyzing complex turbulent flows.

Contribution

The paper demonstrates that applying the Hilbert transform directly to POD modes can efficiently identify propagating structures, reducing computational complexity and filtering artifacts.

Findings

HPOD modes effectively capture propagating structures.

Direct Hilbert transform on POD modes simplifies analysis.

Proposed method reduces filtering artifacts.

Abstract

Turbulent flows, despite their apparent randomness, exhibit coherent structures that underpin their dynamics. Proper orthogonal decomposition (POD) has been widely used to extract these structures from experimental data. While periodic features like vortex shedding can be identified using POD mode pairs when periodicity dominates the flow, detecting such structures in complex flows is more challenging. The Hilbert proper orthogonal decomposition (HPOD) addresses this by applying POD to the analytic signal of the turbulent fluctuations, yielding complex modes with a $90^\circ$ phase shift between the real and imaginary components. These modes capture propagating structures effectively but introduce filtering artefacts from the Hilbert transform that is used to derive the analytic signal. The current work investigates the relationship between the modes of the POD and those of the HPOD on the velocity fluctuations in the wake of a sphere. By comparing their outputs, POD mode pairs that correspond to the same propagating structures revealed by HPOD are identified. Furthermore, this study explored whether computing the analytic signal of the POD modes can replicate the HPOD modes, offering a more computationally efficient method for determining the pairs of POD modes that represent propagating structures. The results show that the pairs of POD modes identified by the HPOD can be more efficiently determined using the Hilbert transform directly on the POD modes. This method enhances the interpretive power of POD, enabling more detailed analysis of turbulent dynamics without introducing the filtering from the Hilbert transform.