Physical properties of vortex and applicability of different vortex identification methods

Liu, Peiqing; Zhao, Yue; Qu, Qiulin; Hu, Tianxiang

doi:10.1007/s42241-020-0064-7

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…Many vortex identification methods have been proposed in the literature (Spalart, 1988;Hunt et al, 1988;Graftieaux et al, 2001;Vétel et al, 2010;Liu et al, 2016;Shkarayev and Kurnosov, 2017;Zhang et al, 2018a, b;Liu et al, 2020). In this work, three identification methods are compared.…”

Section: Vortex Identification Methodsmentioning

confidence: 99%

Vortex identification methods applied to wind turbine tip vortices

et al. 2022

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Abstract. This study describes the impact of postprocessing methods on the calculated parameters of tip vortices of a wind turbine model when tested using particle image velocimetry (PIV). Several vortex identification methods and differentiation schemes are compared. The chosen methods are based on two components of the velocity field and their derivatives. They are applied to each instantaneous velocity field from the dataset and also to the calculated average velocity field. The methodologies are compared through the vortex center location, vortex core radius and jittering zone. Results show that the tip vortex center locations and radius have good comparability and can vary only a few grid spacings between methods. Conversely, the convection velocity and the jittering surface, defined as the area where the instantaneous vortex centers are located, vary between identification methods. Overall, the examined parameters depend significantly on the postprocessing method and selected vortex identification criteria. Therefore, this study proves that the selection of the most suitable postprocessing methods of PIV data is pivotal to ensure robust results.

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Section: Vortex Identification Methodsmentioning

confidence: 99%

Vortex identification methods applied to wind turbine tip vortices

et al. 2022

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“…Figure 11 provides the comparison between experimental on-site photograph, high-speed camera close-up and the simulation results of the vortex structure within the STP after flow stabilization. The simulated three-dimensional vortex structure is analyzed using the Q-criterion [25] , with visualization based on iso-surfaces of Q-criterion=2000s -1 . The Qcriterion, focusing on the velocity gradient tensor, emphasizing the dominant role of local fluid rotation, is one of the most widely used methods for identifying vorticity.…”

Section: Vortex Characteristicsmentioning

confidence: 99%

Study on the Combined Vortex Characteristics of Cavity Vortex in the Sediment Transport Pipe of the Desilting Channel with a Swirling Flow Generator

Nan,

Hu,

et al. 2024

Preprint

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To clarify the internal flow field characteristics of cavity vortex in the sediment transport pipe (STP) of the desilting channel with a swirling flow generator (DCSFG), this study adopted a method combining model test, numerical simulation, and theoretical analysis to investigate flow field characteristics such as water flow regime, cavity morphology, pressure, flow velocity and vorticity, analyze the distribution of combined vortex indexes and radial pressure difference of cavity vortex, and discuss the motion feature differences between the combined vortex in the cavity vortex and the ideal combined vortex. The results show that large eddy simulation (LES) exhibits higher accuracy than the Realizable k–ε model, the distribution of combined vortex n values along typical cross-sections inside the STP ranges from − 0.901 to 0.913 radially, indicating quasi-forced vortex motion on the inner side of the vortex area and quasi-free vortex motion on the outer side, the theoretical values of radial pressure difference align well with the simulation results, with a maximum relative error of 15%, confirming that the flow characteristics of the vortex are in accordance with the motion features of combined vortex, the distribution of radial pressure, tangential velocity, and vorticity in the cavity vortex conform to the distribution pattern of ideal combined vortex, whereas significant differences exist in terms of fluid force conditions, structural composition, and generation mechanism. The research findings may provide reference for further analyzing the sediment transport mechanism in the cavity vortex and for the practical engineering design and application of the DCSFG.

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