On the self-similarity of line segments in decaying homogeneous isotropic turbulence
Michael Gauding, Lipo Wang, Jens Henrik Goebbert, Mathis Bode,, Luminita Danaila, Emilien Varea

TL;DR
This paper investigates the self-similarity of line segments in decaying homogeneous isotropic turbulence using DNS and the method of line segments, revealing that intense intermittent events break self-similarity.
Contribution
It demonstrates that while the length distribution of line segments is self-similar, intense events cause deviations, providing insights into turbulence intermittency and flow structures.
Findings
Line segment length distribution is self-similar when scaled by mean length.
Rare intense events cause deviations from self-similarity.
Intermittent events are identified as non-self-similar, confirming turbulence theories.
Abstract
The self-similarity of a passive scalar in homogeneous isotropic decaying turbulence is investigated by the method of line segments (M. Gauding et al., Physics of Fluids 27.9 (2015): 095102). The analysis is based on a highly resolved direct numerical simulation of decaying turbulence. The method of line segments is used to perform a decomposition of the scalar field into smaller sub-units based on the extremal points of the scalar along a straight line. These sub-units (the so-called line segments) are parameterized by their length and the difference of the scalar field between the ending points. Line segments can be understood as thin local convective-diffusive structures in which diffusive processes are enhanced by compressive strain. From DNS, it is shown that the marginal distribution function of the length~ assumes complete self-similarity when re-scaled…
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