Unsteadiness characterisation of shock wave/turbulent boundary-layer interaction at moderate Reynolds number

TL;DR

This study uses wavelet analysis on DNS data to reveal that shock wave/turbulent boundary-layer interactions involve sparse, intermittent events rather than continuous broadband movement, providing new insights into shock unsteadiness.

Contribution

It introduces a wavelet-based method to analyze shock unsteadiness, revealing the intermittent nature of shock motion and associated flow features at moderate Reynolds numbers.

Findings

Shock movement results from sparse, scale-specific events.

Wavelet analysis identifies intermittent behavior in shock and recirculation bubble.

A procedure to filter turbulent content based on local intermittency measure.

Abstract

A direct numerical simulation of an oblique shock wave impinging on a turbulent boundary layer at Mach number 2.28 is carried out at moderate Reynolds number, simulating flow conditions similar to those of the experiment by Dupont et al. (2006). The low-frequency shock unsteadiness, whose characteristics have been the focus of considerable research efforts, is here investigated via the Morlet wavelet transform. Owing to its compact support in both physical and Fourier spaces, the wavelet transformation makes it possible to track the time evolution of the various scales of the wall-pressure fluctuations. This property also makes it possible to define a local intermittency measure, representing a frequency-dependent flatness factor, to pinpoint the bursts of energy that characterise the shock intermittency scale by scale. As a major result, wavelet decomposition shows that the broadband shock movement is actually the result of a collection of sparse events in time, each characterised by its own temporal scale. This feature is hidden by the classical Fourier analysis, which can only show the time-averaged behaviour. Then, we propose a procedure to process any relevant time series, such as the time history of the wall-pressure or that of the separation bubble extent, in which we use a condition based on the local intermittency measure to filter out the turbulent content in the proximity of the shock foot and to isolate only the intermittent component of the signal. In addition, wavelet analysis reveals the intermittent behaviour also of the breathing motion of the recirculation bubble behind the reflected shock, and allows us to detect a direct, partial correspondence between the most significant intermittent events of the separation region and those of the wall-pressure at the foot of the shock.