Phase proper orthogonal decomposition of non-stationary turbulent flow
Yisheng Zhang, Azur Hodzic, Fabien Evrard, Berend Van Wachem, Clara, M. Velte

TL;DR
This paper introduces a phase proper orthogonal decomposition method that effectively analyzes non-stationary turbulent flows by extracting space-phase modes, revealing energy transfer mechanisms and flow dynamics across phases.
Contribution
The paper presents a novel Phase POD technique that incorporates phase averaging for non-stationary turbulent flow analysis, applied to a lid-driven cavity flow, identifying key flow patterns and energy transfer processes.
Findings
Four central flow patterns identified across phases
Non-local energy transfer observed due to non-stationarity
Triadic interactions interpreted as convective transport of bi-modal interactions
Abstract
A phase proper orthogonal decomposition (Phase POD) method is demonstrated, utilizing phase averaging for the decomposition of spatio-temporal behaviour of statistically non-stationary turbulent flows in an optimized manner. The proposed Phase POD method is herein applied to a periodically forced statistically non-stationary lid-driven cavity flow, implemented using the snapshot proper orthogonal decomposition algorithm. Space-phase modes are extracted to describe the dynamics of the chaotic flow, in which four central flow patterns are identified for describing the evolution of the energetic structures as a function of phase. The modal building blocks of the energy transport equation are demonstrated as a function of the phase. The triadic interaction term can here be interpreted as the convective transport of bi-modal interactions. Non-local energy transfer is observed as a result of…
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Taxonomy
TopicsModel Reduction and Neural Networks · Wind and Air Flow Studies · Fluid Dynamics and Vibration Analysis
