Lagrangian investigation of the correlation of helicity with coherent flow characteristics for turbulent transport

Author:

Pham Oanh L.1ORCID,Papavassiliou Dimitrios V.1ORCID

Affiliation:

1. School of Sustainable Chemical, Biological and Materials Engineering, The University of Oklahoma , 100 East Boyd St., SEC T-335, Norman, Oklahoma 73019, USA

Abstract

The correlation between helicity and turbulent transport in turbulent flows is probed with the use of direct numerical simulation and Lagrangian scalar tracking. Channel flow and plane Couette flow at friction Reynolds number 300 and Lagrangian data along the trajectories of fluid particles and passive particles with Schmidt numbers 0.7 and 6 are used. The goal is to identify characteristics of the flow that enhance turbulent transport from the wall, and how flow regions that exhibit these characteristics are related to helicity. The relationship between vorticity and relative helicity along particle trajectories is probed, and the relationship between the distribution of helicity conditioned on Reynolds stress quadrants is also evaluated. More importantly, the correlation between relative helicity density and the alignment of vorticity with velocity vectors and eigenvectors of the rate of strain tensor is presented. Separate computations for particles that disperse the farthest into the flow field and those that disperse the least are conducted to determine the flow structures that contribute to turbulent dispersion. The joint distribution of helicity and vertical velocity, and helicity and vertical vorticity depends on the location of particle release and the Schmidt number. The trajectories of particles that disperse the least are characterized by a correlation between the absolute value of the relative helicity density and the absolute value of the cosine between the vorticity vector and the eigenvectors of the rate of strain tensor, while the value of this correlation approaches zero for the particles that disperse the most.

Funder

National Science Foundation

XSEDE ACCESS

Supercomputing Center for Education and Research, University of Oklahoma

Publisher

AIP Publishing

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