4.2 Article

Visualisation and analysis of large-scale vortex structures in three-dimensional turbulent lid-driven cavity flow

Journal

JOURNAL OF TURBULENCE
Volume 16, Issue 10, Pages 901-924

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/14685248.2015.1043132

Keywords

vortex dynamics; large eddy simulation; proper orthogonal decomposition

Funding

  1. Natural Science and Engineering Research Council of Canada (NSERC)

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In this paper, large eddy simulation (LES) of a three-dimensional turbulent lid-driven cavity (LDC) flow at Re = 10,000 has been performed using the multiple relaxation time lattice Boltzmann method. A Smagorinsky eddy viscosity model was used to represent the sub-grid scale stresses with appropriate wall damping. The prediction for the flow field was first validated by comparing the velocity profiles with previous experimental and LES studies, and then subsequently used to investigate the largescale three-dimensional vortical structures in the LDC flow. The instantaneous three-dimensional coherent structures inside the cavity were visualised using the second invariant (Q), Delta criterion, lambda(2) criterion, swirling strength (lambda(ci)) and streamwise vorticity. The vortex structures obtained using the different criteria in general agree well with each other. However, a cleaner visualisation of the large vortex structures was achieved with the lambda(ci) criterion and also when the visualisation is based on the vortex identification criteria expressed in terms of the swirling strength parameters. A major objective of the study was to perform a three-dimensional proper orthogonal decomposition (POD) on the fluctuating velocity fields. The higher energy POD modes efficiently extracted the large-scale vortical structures within the flow which were then visualised with the swirling strength criterion. Reconstruction of the instantaneous fluctuating velocity field using a finite number of POD modes indicated that the large-scale vortex structures did effectively approximate the large-scale motion. However, such a reduced order reconstruction of the flow based on the large-scale vortical structures was clearly not as effective in predicting the small-scale details of the fluctuating velocity field which relate to the turbulent transport.

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