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Vortex analysis of water flow through gates by different vortex identification methods

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Abstract

The pre-gate suction vortex, gate-bottom-edge transverse vortex, gate-slot vertical vortex, and downstream-of-gate return vortex are important factors affecting the flow instability of flat gates, which may lead to fatigue failure in severe cases. This study used the volume of fluid (VOF) model and large eddy simulation (LES) method to accurately capture the transient turbulence characteristics of flow under different water flow conditions and reveal the flow field and vortex structure. The Q — criterion, Omega (Ω) method, and latest third-generation Liutex vortex identification method were used to analyze and compare the pre-gate suction vortex, gate-slot vertical vortex, and downstream-of-gate return vortex, focusing on the ability of each vortex identification method to capture the flow field information and vortex characteristics. The results reveal that the Ω method and Liutex method are less dependent on the threshold value, and the Liutex method captures a wide range of pre-gate vortices. Different flow conditions cause changes in the vortex structure of over-gate flow. When the relative opening of the gate is smaller, the intensity of the vortices in the flow field around the gate is greater, the return vortices downstream of the gate are more disordered, and the vortex changes are more violent, which in turn affects the efficient and stable operation of the gate.

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Acknowledgement

This study used the LiutexUTA code developed by Chaoqun Liu at the University of Texas at Arlington.

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Authors and Affiliations

  1. Faculty of Electrical Power Engineering, Kunming University of Science and Technology, Kunming, 650500, China

    Chun-ying Shen, Rui-guo Yang, Shan Qing & Shi-hua He

Authors
  1. Chun-ying Shen
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  2. Rui-guo Yang
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  3. Shan Qing
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  4. Shi-hua He
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Correspondence to Chun-ying Shen.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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The authors declare that they have no conflict of interest.

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Informed consent was obtained from all individual participants included in the study.

Project supported by the National Natural Science Foundation of China (Grant Nos. 52069009, 51369013).

Biography: Chun-ying Shen (1982–), Female, Ph. D.

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Shen, Cy., Yang, Rg., Qing, S. et al. Vortex analysis of water flow through gates by different vortex identification methods. J Hydrodyn 35, 112–124 (2023). https://doi.org/10.1007/s42241-023-0006-2

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  • DOI: https://doi.org/10.1007/s42241-023-0006-2

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