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SCALE EFFECT ON THE LINEAR HYDRODYNAMIC COEFFICIENTS OF DARPA SUBOFF

Year 2023, Volume: 19 Issue: 1, 53 - 76, 31.05.2023
https://doi.org/10.56850/jnse.1250094

Abstract

As well known, forces and moments acting on a ship are functions of Froude and Reynolds numbers. As a ship gets larger in size, these two numbers grow, which leads to different flow regimes around the hull. However, the state-of-the-art in maneuvering calculations is to consider the hydrodynamic coefficients as constants for model and full ship scales. For submerged bodies, the Froude number is insignificant due to the distant free water surface; therefore, these forces only depend on the Reynolds number. In this study, we consider the benchmark ‘DARPA’ Suboff form, which is extensively studied in the literature, and investigated the scale effects on the hydrodynamic coefficients with respect to the Reynolds number. Numerical studies are carried out on the bare hull form of the submarine. Captive motions of static drift and pure yaw motions are conducted utilizing the oblique towing and rotating arm tests via RANS-based CFD. Linear hydrodynamic coefficients are expressed with logarithmic equations as functions of the Reynolds number, explicitly showing the dependency on the ship’s model scale.

References

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  • Can, M. (2014). Numerical simulation of hydrodynamic planar motion mechanism test for underwater vehicles. [M.S. - Master of Science]. Middle East Technical University.
  • Çavdar, F. & Bal, Ş. (2022). “An investigation of hydrodynamic maneuvering derivatives and horizontal stability of DARPA suboff depending on depth.” Gemi ve Deniz Teknolojisi , (221) , 42-58 . DOI: 10.54926/gdt.1084413
  • Feldman, J. (1979). “DTNSRDC revised standard submarine equations of motion.”
  • He, S., Kellett, P., Yuan, Z., Incecik, A., Turan, O., & Boulougouris, E. (2016). “Manoeuvring prediction based on CFD generated derivatives.” Journal of Hydrodynamics, 28, 284-292.
  • Kahramanoglu, E. (2023). “Numerical investigation of the scale effect on the horizontal maneuvering derivatives of an underwater vehicle.” https://ssrn.com/abstract=4280314
  • Kırıkbaş, O., Kınacı, Ö. K. & Bal, Ş. (2021). “Sualtı araçlarının manevra karakteristiklerinin değerlendirilmesi-I: manevra analizlerinde kullanılan yaklaşımlar.” Gemi ve Deniz Teknolojisi , (219) , 6-58 . Retrieved from https://dergipark.org.tr/tr/pub/gdt/issue/63160/877594
  • Krishnakumar & Ramasamy, S., & Al-Mamun, A. (2018). “A study on dynamic positioning system robustness with wave loads predictions from deep belief network.” 1520-1527. 10.1109/SSCI.2018.8628825.
  • Racine, B., & Paterson, E. (2005). “CFD-based method for simulation of marine-vehicle maneuvering.” 10.2514/6.2005-4904.
  • Ray, A., & Singh, S., & Seshadri, V. (2009). “Evaluation of linear and nonlinear hydrodynamic coefficients of underwater vehicles using CFD.” 10.1115/OMAE2009-79374.
  • Roddy, R.F. (1990). “Investigation of the stability and control characteristics of several configurations of the DARPA suboff model (DTRC Model 5470) from captive-model experiments.”
  • Shenoi, R., & Krishnankutty, P. & Selvam, Panneer. (2013). “Prediction of maneuvering coefficients of a container ship by numerically simulating HPMM using RANSE based solver.”
  • Sukas, O. F., Kinaci, Ö. K., & Bal, Ş. (2019). “System-based prediction of maneuvering performance of twin-propeller and twin-rudder ship using a modular mathematical model.” Applied Ocean Research , vol.84, 145-162.
  • Sukas, Ö. F., Kınacı, Ö. K., & Bal, Ş. (2017). “Gemilerin manevra performans tahminleri için genel bir değerlendirme 1.” Gemi ve Deniz Teknolojisi , vol.23, no.210, 37-75.
  • Triantafyllou S., & Hover S. (2003). Manoeuvring and control of marine vehicles, Department of Ocean Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts USA.
  • Vaz, G., & Toxopeus, S., & Holmes, S. (2010). “Calculation of manoeuvring forces on submarines using two viscous-flow solvers.” Proceedings of the international conference on offshore mechanics and arctic engineering - OMAE. 6. 10.1115/OMAE2010-20373.
  • Wang, H., & Zhai, Z. (2012). “Analyzing grid independency and numerical viscosity of computational fluid dynamics for indoor environment applications.” Building and Environment. 52. 107-118. 10.1016/j.buildenv.2011.12.019.
  • Yasukawa, H., & Yoshimura, Y. (2015). “Introduction of MMG standard method for ship maneuvering predictions.” Journal of Marine Science and Technology, 20, 37-52.
  • Yoon, H. (2009). “Phase-averaged stereo-PIV flow field and force/moment/motion measurements for surface combatant in PMM maneuvers.”
Year 2023, Volume: 19 Issue: 1, 53 - 76, 31.05.2023
https://doi.org/10.56850/jnse.1250094

Abstract

References

  • Budak, G., & Beji, S. (2016). “Computational resistance analyses of a generic submarine hull form and its geometric variants.” The Journal of Ocean Technology , 76-86.
  • Can, M. (2014). Numerical simulation of hydrodynamic planar motion mechanism test for underwater vehicles. [M.S. - Master of Science]. Middle East Technical University.
  • Çavdar, F. & Bal, Ş. (2022). “An investigation of hydrodynamic maneuvering derivatives and horizontal stability of DARPA suboff depending on depth.” Gemi ve Deniz Teknolojisi , (221) , 42-58 . DOI: 10.54926/gdt.1084413
  • Feldman, J. (1979). “DTNSRDC revised standard submarine equations of motion.”
  • He, S., Kellett, P., Yuan, Z., Incecik, A., Turan, O., & Boulougouris, E. (2016). “Manoeuvring prediction based on CFD generated derivatives.” Journal of Hydrodynamics, 28, 284-292.
  • Kahramanoglu, E. (2023). “Numerical investigation of the scale effect on the horizontal maneuvering derivatives of an underwater vehicle.” https://ssrn.com/abstract=4280314
  • Kırıkbaş, O., Kınacı, Ö. K. & Bal, Ş. (2021). “Sualtı araçlarının manevra karakteristiklerinin değerlendirilmesi-I: manevra analizlerinde kullanılan yaklaşımlar.” Gemi ve Deniz Teknolojisi , (219) , 6-58 . Retrieved from https://dergipark.org.tr/tr/pub/gdt/issue/63160/877594
  • Krishnakumar & Ramasamy, S., & Al-Mamun, A. (2018). “A study on dynamic positioning system robustness with wave loads predictions from deep belief network.” 1520-1527. 10.1109/SSCI.2018.8628825.
  • Racine, B., & Paterson, E. (2005). “CFD-based method for simulation of marine-vehicle maneuvering.” 10.2514/6.2005-4904.
  • Ray, A., & Singh, S., & Seshadri, V. (2009). “Evaluation of linear and nonlinear hydrodynamic coefficients of underwater vehicles using CFD.” 10.1115/OMAE2009-79374.
  • Roddy, R.F. (1990). “Investigation of the stability and control characteristics of several configurations of the DARPA suboff model (DTRC Model 5470) from captive-model experiments.”
  • Shenoi, R., & Krishnankutty, P. & Selvam, Panneer. (2013). “Prediction of maneuvering coefficients of a container ship by numerically simulating HPMM using RANSE based solver.”
  • Sukas, O. F., Kinaci, Ö. K., & Bal, Ş. (2019). “System-based prediction of maneuvering performance of twin-propeller and twin-rudder ship using a modular mathematical model.” Applied Ocean Research , vol.84, 145-162.
  • Sukas, Ö. F., Kınacı, Ö. K., & Bal, Ş. (2017). “Gemilerin manevra performans tahminleri için genel bir değerlendirme 1.” Gemi ve Deniz Teknolojisi , vol.23, no.210, 37-75.
  • Triantafyllou S., & Hover S. (2003). Manoeuvring and control of marine vehicles, Department of Ocean Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts USA.
  • Vaz, G., & Toxopeus, S., & Holmes, S. (2010). “Calculation of manoeuvring forces on submarines using two viscous-flow solvers.” Proceedings of the international conference on offshore mechanics and arctic engineering - OMAE. 6. 10.1115/OMAE2010-20373.
  • Wang, H., & Zhai, Z. (2012). “Analyzing grid independency and numerical viscosity of computational fluid dynamics for indoor environment applications.” Building and Environment. 52. 107-118. 10.1016/j.buildenv.2011.12.019.
  • Yasukawa, H., & Yoshimura, Y. (2015). “Introduction of MMG standard method for ship maneuvering predictions.” Journal of Marine Science and Technology, 20, 37-52.
  • Yoon, H. (2009). “Phase-averaged stereo-PIV flow field and force/moment/motion measurements for surface combatant in PMM maneuvers.”
There are 19 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Furkan Kıyçak 0000-0002-6894-3246

Ömer Kemal Kınacı 0000-0002-2956-9562

Early Pub Date May 26, 2023
Publication Date May 31, 2023
Published in Issue Year 2023 Volume: 19 Issue: 1

Cite

APA Kıyçak, F., & Kınacı, Ö. K. (2023). SCALE EFFECT ON THE LINEAR HYDRODYNAMIC COEFFICIENTS OF DARPA SUBOFF. Journal of Naval Sciences and Engineering, 19(1), 53-76. https://doi.org/10.56850/jnse.1250094