2019
DOI: 10.1007/s42241-019-0066-5
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Liutex (vortex) core definition and automatic identification for turbulence vortex structures

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Cited by 50 publications
(10 citation statements)
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“…where λ ci is the imaginary part of the complex conjugate eigenvalues and r is the real eigenvector of velocity gradient tensor. Thereafter, multiple vortex identification methodologies have been developed including the Liutex iso-surfaces, Liutex-Ω method [36,37], Liutex core line method [38,39], objective Liutex method [40], etc. In addition, a particular feature of the Liutex vector is that it is free from shear contamination.…”
Section: Introductionmentioning
confidence: 99%
“…where λ ci is the imaginary part of the complex conjugate eigenvalues and r is the real eigenvector of velocity gradient tensor. Thereafter, multiple vortex identification methodologies have been developed including the Liutex iso-surfaces, Liutex-Ω method [36,37], Liutex core line method [38,39], objective Liutex method [40], etc. In addition, a particular feature of the Liutex vector is that it is free from shear contamination.…”
Section: Introductionmentioning
confidence: 99%
“…These will directly influence one's understanding of the hydraulic loss caused by vortex rope evolution. Recently, Liu et al introduced the Ω method and Liutex/Rotex method [4] to determine the vortex. The Liutex/Rotex method has provided better performance and more reliability in revealing vortex structures [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…By changing the precone angle of the upstream wind turbine in the range of -15°~15°, the wake characteristics of the tandem turbine rotors are explored. Finally, the post-processing program of the latest third-generation W vortex identification method Xu et al, 2019) is compiled, to visualize the wind turbine wake vortex structure under the precone variation. By comparing the differences of the first, second, and third vortex identification methods, the influence mechanism of the upstream wind turbine wake vortex structure on the downstream wind turbine is further understood, thus proving valuable to the conceptualization of wind farms.…”
Section: Introductionmentioning
confidence: 99%