대한조선학회논문집 (Journal of the Society of Naval Architects of Korea)

  • 제57권5호
  • /
  • Pages.278-286
  • /
  • 2020
  • /
  • 1225-1143(pISSN)
  • /
  • 2287-7355(eISSN)
대한조선학회 (The Society of Naval Architects of Korea)
권호 표지
DOI QR코드

DOI QR Code

선체 주위 파에 대한 고정도 모사가 선체 저항에 미치는 영향

An Effect of Numerical Region with High Resolution for Kelvin Wave on Ship Resistance

  • 강민재 (동아대학교 조선해양플랜트공학과) ;
  • 오석환 (부산대학교 조선해양공학과) ;
  • 김찬우 (동아대학교 조선해양플랜트공학과) ;
  • 윤미진 (동아대학교 조선해양플랜트공학과) ;
  • 이상봉 (동아대학교 조선해양플랜트공학과)
  • Kang, Min Jae (Department of Naval Architecture and Offshore Engineering, Dong-A University) ;
  • Oh, Seok Hwan (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Kim, Chan Woo (Department of Naval Architecture and Offshore Engineering, Dong-A University) ;
  • Yoon, Mi Jin (Department of Naval Architecture and Offshore Engineering, Dong-A University) ;
  • Lee, Sang Bong (Department of Naval Architecture and Offshore Engineering, Dong-A University)
  • 투고 : 2020.01.04
  • 심사 : 2020.06.25
  • 발행 : 2020.10.20
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Reynolds-averaged Navier-Stokes simulations have been performed to investigate an effect of numerical region with high resolution for Kelvin wave around KRISO container ship on its resistance. In the present study, 13 millions cells were used to describe wave profile along the ship hull and Kelvin wave patterns. In order to control a size of numerical region with high resolution for waves around the hull, we employed relaxation zones from a side boundary of numerical domain in which Kelvin wave was suppressed. When the far-field Kelvin wave was not precisely resolved due to the relaxation zone, the instantaneous history of ship resistance was affected although the time average of ship resistance showed -1.15~2.1 % errors. Especially, the damping characteristics of ship resistance in time history was significant when using a large relaxation zone in the side boundary.

키워드

참고문헌

  1. Afshar, M.A., 2010. Numerical wave generation in OpenFOAM®. Master's Thesis. Chalmers University of Technology.
  2. Choi, J.E., Kim, J.H., Lee, S.B. & Lee, H.G., 2009. Computational prediction of speed performance for a ship with vortex generators. Journal of the Society of Naval Architects of Korea, 46(2), pp.136-147. https://doi.org/10.3744/SNAK.2009.46.2.136
  3. Jacobsen, N.G., Fuhrman D.R. & Fredsoe J., 2012. A wave generation toolbox for the open-source CFD library: OpenFOAM®. International Journal for Numerical Methods in Fluids, 70, pp.1073-1088. https://doi.org/10.1002/fld.2726
  4. Jun, J.H., Lee, S.E., Kwon, J.W. & Son, J.W., 2011. Analysis of flow around ship using unstructured grid. Proceeding of KSCFE Spring Annual Meeting, May 2011 187-193.
  5. Jones, D.A., 2015. CFD RANS simulations on a generic conventional scale model submarine: comparison between Fluent and OpenFOAM, Defence Science and Technology Group TN-1449.
  6. Kim, J., Park, I.Y., Kim, K.S. & Van, S.H., 2005. RANS simulations for KRISO container ship and VLCC tanker. Journal of the Society of Naval Architects of Korea, 42(6), pp.593-600. https://doi.org/10.3744/SNAK.2005.42.6.593
  7. Kim, W.J., Van, S.H., & Kim, D.H., 2001. Measurement of flows around modern commercial ship models. Experiments in Fluids, 31(5), pp. 567-578. https://doi.org/10.1007/s003480100332
  8. Kim, C.K. et al., 2017. Analysis of added resistance and seakeeping responses in head sea conditions for low-speed full ships using URANS approach. International Journal of Naval Architecture and Ocean Engineering, 9, pp.641-654. https://doi.org/10.1016/j.ijnaoe.2017.03.001
  9. Kim, Y.J. & Lee, S.B., 2017. Effects of trim conditions on ship resistance of KCS in short waves. Journal of the Society of Naval Architects of Korea, 54(3), pp.258-266. https://doi.org/10.3744/SNAK.2017.54.3.258
  10. Launder, B.E., & Spalding, D.B., 1972. Lectures in mathematical models of turbulence. Academic Press, UK.
  11. Lee, S.B. & Lee, Y.M., 2014. Statistical reliability analysis of numerical simulation for prediction of model-ship resistance. Journal of the Society of Naval Architects of Korea, 51(4), pp.321-327. https://doi.org/10.3744/SNAK.2014.51.4.321
  12. Luo, W.Z. et al., 2016. Numerical simulation of viscous flow field around ships in ballast. Journal of Coastal Research, 32(4), pp.911-922. https://doi.org/10.2112/jcoastres-d-15-00161.1
  13. Park, D.W., Lee, S.B., Churg, S.S. & Kwon, J.W., 2013a. Effects of trim on resistance performance of a ship. Journal of the Society of Naval Architects of Korea, 50(2), pp.88-94. https://doi.org/10.3744/SNAK.2013.50.2.88
  14. Park, S. et al., 2013b. Investigation on the wall function implementation for the prediction of ship resistance. International Journal of Naval Architecture and Ocean Engineering, 5(1), pp.33-46. https://doi.org/10.3744/JNAOE.2013.5.1.033
  15. Peric, R. & Abdel-Maksoun, M., 2016. Relaible damping of free surface waves in numerical simulations. Ship Technology Research, 63. pp.1-13. https://doi.org/10.1080/09377255.2015.1119921
  16. Pope, S.B., 2000. Turbulent Flows. Cambridge University Press, UK.
  17. Tezdogan, T., Incecik, Atilla. & Turan, Osman., 2016. Full-scale unsteady RANS simulations of vertical ship motions in shallow water. Journal of Ocean Engineering. 123, pp.131-145. https://doi.org/10.1016/j.oceaneng.2016.06.047
  18. Van, S.H. et al., 1998. Experimental investigation of the flow characteristics around practical hull forms. Proc. of the 3rd Osaka Colloquium on Advanced CFD Applications to Ship Flow and Hull Form Design, Osaka, Japan, 25-27 May 1998, pp. 215-227.
  19. Van, S.H., Kim, W.J., Yim, G.T. & Kim, D.H., 2000. Experimental investigation of local flow around KRISO 3600TEU container ship model in towing tank. Journal of the Society of Naval Architects of Korea, 37(3). pp.1-10.