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Assessment of RANS and DES turbulence models for the underwater vehicle wake flow field and propeller excitation force

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Abstract

Numerical simulations of underwater vehicle wake flow field and propeller excitation force were performed to evaluate the performance of the k-ω SST RANS and k-ω IDDES turbulence models. First, the nominal wake of the SUBOFF model and open water characteristics of the INSEAN E1619 propeller were compared to the experimental measurements to validate the numerical method. Then, the flow field around the SUBOFF model fitted with the INSEAN E1619 propeller was simulated at the self-propulsion point by RANS and DES turbulence models, respectively. Finally, the time histories of the predicted propeller load and corresponding frequency spectra were compared between these two turbulence models to reveal their differences. It is found that the RANS model can successfully capture the main flow field features and predict the mean propeller loads. The DES model was able to simulate the wake flow field with much more useful details and predict the propeller loads with much larger fluctuations than RANS. The fluctuation of blade hydrodynamic loads is highly correlated with the wake turbulence intensity. In addition, it is found that the phase-averaged evolution course of the propeller force predicted by the DES model is almost the same as that directly predicted by the RANS model.

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References

  1. Alin N, Fureby C, Svenjberg SU, Wikström N (2005) 3D unsteady computations for submarine-like bodies. In: 43rd AIAA Aerospace sciences meeting and exhibit. Reno, American.

  2. Alin N, Bensow RE, Fureby C, Huuva T, Svennberg U (2010) Current capabilities of DES and LES for submarines at straight course. J Ship Res 54(3):184–196

    Article  Google Scholar 

  3. Bhushan S, Alam MF, Walters DK (2013) Evaluation of hybrid RANS/LES models for prediction of flow around surface combatant and SUBOFF geometries. Comput Fluids 88:834–849

    Article  Google Scholar 

  4. Cansın MÖ, Gürkan AY, Özden YA, Canyurt TG, Korkut E (2016) Underwater radiated noise prediction for a submarine propeller in different flow conditions. Ocean Eng 126:488–500

    Article  Google Scholar 

  5. Chase N (2012) Simulations of the DARPA SUBOFF submarine including self-propulsion with the E1619 propeller. Master degree. University of Iowa, America.

  6. Chase N, Carrica PM (2013) Submarine propeller computations and application to self-propulsion of DARPA SUBOFF. Ocean Eng 60:68–80

    Article  Google Scholar 

  7. Davenport W, DeWitz M, Agarwal N, Simpson R, Podda K (1989) Effects of a fillet on the flow past a wing body junction. In: AlAA 2nd shear flow conference. Tempe, AZ, USA.

  8. Di Felice F, Felli M, Liefvendahl M, Svennbergt U (2009) Numerical and experimental analysis of the wake behavior of a generic submarine propeller. In: First international symposium marine propulsors. Trondheim, Norway.

  9. Felli M, Camussi R, Di Felice F (2011) Mechanisms of evolution of the propeller wake in the transition and far fields. J Fluid Mech 150:1–49

    MATH  Google Scholar 

  10. Groves NC, Huang TT, Chang MS (1989) Geometric characteristics of DARPA models DTRC model nos. 5470 and 5471), David Taylor Research Center Report, Maryland USA, Report No. DTRC/SHD—1298-01.

  11. Haller G (2005) An objective definition of a vortex. J Fluid Mech 525:1–26

    Article  MathSciNet  Google Scholar 

  12. Huang TT, Liu HL (1994) Measurements of flows over an axisymmetric body with various appendages in a wind tunnel: the DARPA SUBOFF experimental program. In: 19th Symposium on naval hydrodynamics. Seoul, South Korea.

  13. Li XW, Chen Y, Wang WQ (2003) Study on the junction of stern appendages and main body of submarine by CFD. J Ship Mech 7(5):28–32 (In Chinese)

    Google Scholar 

  14. Liu ZH, Xiong Y, Tu CX (2011) Numerical simulation and control of horseshoe vortex around an appendage–body junction. J Fluids Struct 27:13–42

    Article  Google Scholar 

  15. Liu ZH, Xiong Y, Tu CX (2014) The method to control the submarine horseshoe vortex by breaking the vortexcore. J Hydrodyn 26(4):637–645

    Article  Google Scholar 

  16. Liefvendahl M, Troëng C (2011) Computation of cycle-to-cycle variation in blade load for a submarine propeller, using LES. In: Second international symposium on marine propulsors. Hamburg, Germany.

  17. Liefvendahl M, Alin N, Chapuis M, Fureby C, Svennberg U, Troeng C (2010) Ship and propulsor hydrodynamics. In: V European conference computation fluid dynamics, Lisbon, Portugal

  18. Menter FR (1994) Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J 32:1598–1605

    Article  Google Scholar 

  19. Menter FR, Kuntz M, Langtry R (2003) Ten years of industrial experience with the SST turbulence model. In: Internal symposium, turbulence, heat and mass transfer. Antalya, Turkey

  20. Merz S, Kinns R, Kessissoglou N (2009) Structural and acoustic responses of a submarine hull due to propeller forces. J Sound Vib 325:266–286

    Article  Google Scholar 

  21. Posa A, Balaras E (2016) A numerical investigation of the wake of an axisymmetric body with appendage. J Fluid Mech 792:470–498

    Article  MathSciNet  Google Scholar 

  22. Posa A, Balaras E (2018) Large-eddy simulations of a notional submarine in towed and self-propelled configurations. Comput Fluids 165:116–126

    Article  MathSciNet  Google Scholar 

  23. Kumar P, Mahesh K (2018) Large-eddy simulation of flow over an axisymmetric body of revolution. J Fluid Mech 853:537–563

    Article  MathSciNet  Google Scholar 

  24. Pan YC, Zhang HX, Zhou QD (2019) Numerical simulation of unsteady propeller force for a submarine in straight ahead sailing and steady diving maneuver. Int J Naval Archit Ocean Eng 11:899–913

    Article  Google Scholar 

  25. Rao ZQ, Yang CJ (2017) Numerical prediction of effective wake field for a submarine based on a hybrid approach and an RBF interpolation. J Hydrodyn 29(4):691–701

    Article  Google Scholar 

  26. Spalart PR, Jou WH, Strelets M, Allmaras SR (1997) Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach. In: Advances in DNS/LES: direct numerical simulation and large eddy simulation. Ruston, American.

  27. Spalart PR, Deck S, Shur ML, Squires KD, Strelets MK, Travin A (2006) A new version of detached eddy simulation, resistant to ambiguous grid densities. Theoret Comput Fluid Dyn 20:181–195

    Article  Google Scholar 

  28. Shur ML, Spalart PR, Strelets M, Travin AK (2008) A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities. Int J Heat Fluid Flow 29:1638–1649

    Article  Google Scholar 

  29. Sezen S, Dogrul A, Delen C, Bal S (2018) Investigation of self-propulsion of DARPA SUBOFF by RANS method. Ocean Eng 150:258–271

    Article  Google Scholar 

  30. Spalart PR (2009) Detached-eddy simulation. Annu Rev Fluid Mech 41:181–202

    Article  Google Scholar 

  31. Wang C, Sun SX, Sun S, Li L (2017) Numerical analysis of propeller exciting force in oblique flow. J Mar Sci Technol 22:602–619

    Article  Google Scholar 

  32. Wei YS, Wang YS (2013) Unsteady hydrodynamics of blade forces and acoustic responses of a model scaled submarine excited by propeller’s thrust and side-forces. J Sound Vib 332:2038–2056

    Article  Google Scholar 

  33. Zhang GY, Hui D, Li D, Zou L, Jiang SC, Zong Z (2020) A new TVD scheme for gradient smoothing method using unstructured grids. Int J Comput Methods 17(3):24 (1850132)

    Article  MathSciNet  Google Scholar 

  34. CD-adapco (2019) User Guide STAR-CCM+ (Version 14.02.010-R8). CD-adapco, Melville, NY, USA

  35. Posa A, Balaras E (2020) A numerical investigation about the effects of Reynolds number on the flow around an appended axisymmetric body of revolution. J Fluid Mech 884:A41

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The present work is supported by the National Natural Science of China (Grant No. 52001043, 51639003, 51279030, 51709042, 52061135107), the Fundamental Research Funds for the Central Universities (DUT20TD108, DUT20LAB308); and the Liao Ning Revitalization Talents Program (XLYC1908027). The authors would like to thank their support.

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Jiang, Y., Li, Y., Wu, C. et al. Assessment of RANS and DES turbulence models for the underwater vehicle wake flow field and propeller excitation force. J Mar Sci Technol 27, 226–244 (2022). https://doi.org/10.1007/s00773-021-00828-8

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  • DOI: https://doi.org/10.1007/s00773-021-00828-8

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