Evolution of clusters of turbulent reattachment due to shear layer instability in flow past a circular cylinder

TL;DR

This study uses large eddy simulations and complex network analysis to explore how turbulent reattachment clusters evolve along a circular cylinder's surface across different Reynolds regimes, revealing their impact on drag.

Contribution

It introduces a novel approach combining LES and complex networks to analyze spanwise coherence and cluster dynamics of turbulent reattachment in flow past a cylinder.

Findings

Cluster size and number increase with Reynolds number in critical regime.

At higher Reynolds numbers, clusters coalesce into larger, more coherent structures.

The average drag coefficient follows a power-law distribution related to cluster sizes.

Abstract

We perform large eddy simulations of flow past a circular cylinder for the Reynolds number ($Re$) range, $2\times 10^3 \leq Re \leq 4\times10^5$, spanning subcritical, critical and supercritical regimes. We investigate the spanwise coherence of the flow in the critical and supercritical regimes using complex networks. In these regimes, the separated flow reattaches to the surface in a turbulent state due to the turbulence generated by the shear layer instability. In the early critical regime, the turbulent reattachment does not occur simultaneously at all span locations. It occurs incoherently along the span in clusters. We treat strong surface pressure fluctuations due to the shear layer instability as extreme events and construct time-varying spatial proximity networks where links are based on synchronization between events. This analysis unravels the underlying complex spatio-temporal dynamics by enabling the estimation of characteristics of clusters of turbulent reattachment via the concept of connected components. In the critical regime, the number and size of the clusters increase with increase in $Re$. At higher $Re$ in the supercritical regime, they coalesce to form bigger clusters, resulting in increase in spanwise coherence of turbulent reattachment. We find that the size and number of clusters govern the variation of the time-averaged coefficient of drag ($\overline{C}_D$) in the critical and supercritical regimes. $\overline{C}_D$ exhibits power-law distribution with the most probable cluster size ($\overline{C}_D \propto E(S_C)^{-\frac{2}{5}}$) and the largest cluster size ($\overline{C}_D \propto {\overline{S}_{CL}}^{-\frac{2}{5}}$).