Abstract. We explore the mechanisms behind vortical structural interactions modifying largescale structures in wall turbulence. The evidence for this in terms of vortex interactions, such as merging and intense vortex strengthening, is found in [4] in ideal flow conditions. Here, these interactions are studied experimentally and numerically in turbulent boundary layer and channel flows respectively. This is done by extracting statistical information from conditional averaging of different events based on the spanwise swirling strength. Experimental results showed vortex merger leading to vortex intensification. This was in good agreement with the results of [4]. However, numerical results did not show complete agreement with experimental results. This may be due to the difference in spatial resolution of experimental and numerical data. Furthermore, the peak Reynolds shear stress did reveal a relative increase in magnitude when two vortices merged in the numerical data.
IntroductionUnderstanding energy transfer and cascade processes in wall turbulence helps in developing better large-eddy-simulation models (LES). In LES models, large scales are explicitly computed and small scales are modelled. As the small scales contain only a small part of the turbulent kinetic energy, their effect on the computed large scales is considered limited, and they are modelled in simple ways based on scale invariance and on the universality of the small scales. Understanding the phenomenon behind the small-scale effects on the large scales may help in building better models. There has been some evidence of the small scale interactions with the large scales and of a reverse cascade in [1,5,11], but the mechanisms behind these cascade processes and interactions between scales is not completely understood.Cascade processes and self-sustaining mechanisms in wall-bounded turbulence are likely dynamical, time-dependent processes. However, the study of the associated flow features has often concentrated on the description of the instantaneous structures and their spatial relationships. This can be attributed to the unavailability of time series of the three-dimensional flow-velocity field. Thanks to advances in both numerical simulations and experimental capabilities, such data are now becoming available, which allows us to consider the dynamical aspects of turbulent flow in a quantitative way.Previous studies using the newly available time series have mainly dealt with the convection velocity and lifetimes of the various flow structures. They have also highlighted examples of vortex structures merging or splitting [2,3,8]. When presenting structural interactions, only