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Comparative study of reduced-order modeling method for the cavitating flow over a hydrofoil

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Abstract

As a high-dimensional complex nonlinear dynamic system, the analysis of the essence of flow has always been a difficult problem, especially in the flow including phase change. In recent years, it has become a feasible method to reduce the dimension of flow structure by reduced-order modeling (ROM) methods. In this paper, through the cavitation numerical simulation of NACA0015 hydrofoil, two ROM methods are used to reduce and restore three different cavitation respectively-proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD). The applicability of two methods in cavitation is discussed and reasons are analyzed. The results show that for stable cavitation, POD, DMD methods can accurately restore the flow field of a few modes with high energy. For unstable cavitation, only POD method can restore real flow field well. This situation is mainly due to the fact that POD, DMD method are applicable to different energy ratios, and different main mode selection criterion of DMD will lead to different main mode. ROM can greatly simplify the complexity of flow. Selecting a reasonable ROM can improve the accuracy of a small amount of database, and provide a basis for intelligent prediction of flow analysis.

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References

  1. Luo X. W., Ji B., Tsujimoto Y. A review of cavitation in hydraulic machinery [J]. Journal of Hydrodynamics, 2016, 28(3): 335–358.

    Article  Google Scholar 

  2. Wang F. J. Analysis method of flow in pumps and pumping stations [M]. Beijing, China: China Water & Power Press, 2020 (in Chinese).

    Google Scholar 

  3. Sreedhar B. K., Albert S. K., Pandit A. B. Cavitation damage: Theory and measurements–A review [J]. Wear, 2017, 372: 177–196.

    Article  Google Scholar 

  4. Malekshah E. H., Wróblewski W., Bochon K. et al. Experimental analysis on dynamic/morphological quality of cavitation induced by different air injection rates and sites [J]. Physics of Fluids, 2023, 35(1): 013335.

    Article  Google Scholar 

  5. Simanto R. I. A., Hong J. W., Kim K. S. et al. Experimental investigation on cavitation and induced noise of two-dimensional hydrofoils with leading-edge protuberances [J]. Physics of Fluids, 2023, 34(12): 124115.

    Article  Google Scholar 

  6. Knapp R. T., Daily J. W., Hammitt F. G. Cavitation [M]. New York: McGraw-Hill, 1970.

    Google Scholar 

  7. Ye B., Wang Y., Huang C.. Numerical study of the pressure wave-induced shedding mechanism in the cavitating flow around an axisymmetric projectile via a compressible multiphase solver [J]. Ocean Engineering, 2019, 187: 106179.

    Article  Google Scholar 

  8. Russell P. S., Barbaca L., Venning J. A. et al. A. Influence of nucleation on cavitation inception in tip leakage flows [J]. Physics of Fluids, 2023, 35(1): 013341.

    Article  Google Scholar 

  9. Huai W. X., Zhang J., Katul G. G. et al. The structure of turbulent flow through submerged flexible vegetation [J]. Journal of Hydrodynamics, 2019, 31(2): 274–292.

    Article  Google Scholar 

  10. Li D. Y., Chang H., Zuo Z. G. et al. The effect of humpback whalelike leading-edge protuberances number on stall control mechanism of NACA 634-021 airfoil [J]. Large Electric Machine and Hydraulic Turbine, 2020, 4: 1–9 (in Chinese).

    Google Scholar 

  11. Ji B., Luo X., Arndt R. E. A. et al. Large eddy simulation and theoretical investigations of the transient cavitating vortical flow structure around a NACA66 hydrofoil [J]. International Journal of Multiphase Flow, 2015, 68: 121–134.

    Article  MathSciNet  Google Scholar 

  12. Ji B., Luo X., Wu Y. et al. Numerical analysis of unsteady cavitating turbulent flow and shedding horse-shoe vortex structure around a twisted hydrofoil [J]. International Journal of Multiphase Flow, 2013, 51: 33–43.

    Article  Google Scholar 

  13. Lei T. T., Cheng H. Y., Ji B. et al. Numerical assessment of the erosion risk for cavitating twisted hydrofoil by three methods [J]. Journal of Hydrodynamics, 2021, 33(4): 698–711.

    Article  Google Scholar 

  14. Cheng H. Y., Bai X. R., Long X. P. et al. Large eddy simulation of the tip-leakage cavitating flow with an insight on how cavitation influences vorticity and turbulence [J]. Applied Mathematical Modelling, 2020, 77: 788–809.

    Article  MathSciNet  MATH  Google Scholar 

  15. Taira K., Brunton S. L., Dawson S. T. M. et. al. Modal analysis of fluid flows: An overview [J]. AIAA Journal, 2017, 55(12): 4013–4041.

    Article  Google Scholar 

  16. Taira K., Hemati M. S., Brunton S. L. et. al. Modal analysis of fluid flows: Applications and outlook [J]. AIAA Journal, 2020, 58(3): 998–1022.

    Article  Google Scholar 

  17. Peng C., Tian S. C., Li G. S. Determination of the shedding frequency of cavitation cloud in a submerged cavitation jet based on high-speed photography images [J]. Journal of Hydrodynamics, 2021, 33(1): 127–139.

    Article  Google Scholar 

  18. Kutz J. N., Brunton S. L., Brunton B. W. et al. Dynamic mode decomposition: Data-driven modeling of complex systems [M]. Philadelphia, USA: Society for Industrial and Applied Mathematics, 2016.

    Book  MATH  Google Scholar 

  19. Wu Y., Tao R., Yao Z. et al. Application and comparison of dynamic mode decomposition methods in the tip leakage cavitation of a hydrofoil case [J]. Physics of Fluids, 2023, 35(2): 023326.

    Article  Google Scholar 

  20. Li X., Liu Y., Kou J. et al. Reduced-order thrust modeling for an efficiently flapping airfoil using system identification method [J]. Journal of Fluids and Structures, 2017, 69: 137–153.

    Article  Google Scholar 

  21. Kou J., Zhang W., Liu Y. et al. The lowest Reynolds number of vortex-induced vibrations [J]. Physics of Fluids, 2017, 29(4): 041701.

    Article  Google Scholar 

  22. Yin T., Giorgio P., Pei J. et al. Numerical investigation of unsteady cavitation around a twisted hydrofoil [J]. International Journal of Multiphase Flow, 2021, 135: 103506.

    Article  MathSciNet  Google Scholar 

  23. Liu Y., Long J., Wu Q. et al. Data-driven modal decomposition of transient cavitating flow [J]. Physics of Fluids, 2021, 33(11): 113316.

    Article  Google Scholar 

  24. Wu J., Deijlen L., Bhatt A. et al. Cavitation dynamics and vortex shedding in the wake of a bluff body [J]. Journal of Mechanics, 2021, 917: A26.

    Google Scholar 

  25. Giorgi M. G. D., Fontanarosa D., Ficarella A. Characterization of unsteady cavitating flow regimes around a hydrofoil, based on an extended Schnerr’Sauer model coupled with a nucleation model [J]. International Journal of Multiphase Flow, 2019, 115: 158–180.

    Article  MathSciNet  Google Scholar 

  26. Liu M., Tan L., Cao S. Dynamic mode decomposition of cavitating flow around ALE 15 hydrofoil [J]. Renewable Energy, 2019, 139: 214–227.

    Article  Google Scholar 

  27. Angelo C., Cristina B., Emilio R. et al. Thermal cavitation experiments on a NACA 0015 hydrofoil [J]. Experiments in Fluids, 2006, 128(2): 326–331.

    Google Scholar 

  28. Celik I. B., Ghia U., Roache P. J. et al. Procedure for estimation and reporting of uncertainty due to discretization in CFD applications [J]. Journal of Fluids Engineering, 2008, 130(7): 078001.

    Article  Google Scholar 

  29. Oberkampf W. L., Roy C. J. Verification and validation in scientific computing [M]. Cambridge, UK: Cambridge University Press, 2010.

    Book  MATH  Google Scholar 

  30. Wang X. W., Fan Z. Y., Tang Z. Q. et al. Drag reduction and hairpin packets of the turbulent boundary layer over the superhydrophobic-riblets surface [J]. Journal of Hydrodynamics, 2021, 33(3): 621–635.

    Article  Google Scholar 

  31. Kou J., Zhang W. Dynamic mode decomposition with exogenous input for data-driven modeling of unsteady flows [J]. Physics of Fluids, 2019, 31(5): 057106.

    Article  Google Scholar 

Download references

Acknowledgement

This work was supported by the Chinese Universities Scientific Fund (Grant No. 2021TC107).

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Correspondence to Ran Tao.

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Conflict of interest: The authors declare that they have no conflict of interest.

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

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

Additional information

Project supported by the National Natural Science Foundation of China (Grant No. 52079142, 51909131).

Biography: Yan-zhao Wu (1996-), Male, Master

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Wu, Yz., Tao, R., Zhu, D. et al. Comparative study of reduced-order modeling method for the cavitating flow over a hydrofoil. J Hydrodyn 35, 679–699 (2023). https://doi.org/10.1007/s42241-023-0046-7

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  • DOI: https://doi.org/10.1007/s42241-023-0046-7

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