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파랑 중 오일붐 성능 예측을 위한 2차원 입자법 시뮬레이션

2-Dimensional Moving Particle Simulation for Prediction of Oil Boom Performance in Waves

  • 남정우 (STX조선해양(주), 조선기술본부) ;
  • 박지인 (부산대학교 조선해양공학과) ;
  • 황성철 (부산대학교 조선해양공학과) ;
  • 박종천 (부산대학교 조선해양공학과) ;
  • 정세민 (부산대학교 조선해양공학과)
  • Nam, Jung-Woo (Shipbuilding Engineering Sales Division, STX Offshore and Shipbuilding Co. Ltd.) ;
  • Park, Ji-In (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Hwang, Sung-Chul (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Park, Jong-Chun (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Jeong, Se-Min (Department of Naval Architecture and Ocean Engineering, Pusan National University)
  • 투고 : 2013.06.19
  • 심사 : 2013.08.13
  • 발행 : 2013.08.31

초록

Oil booms are one of the most widely used types of equipment for the protection of coastal areas against oil spills. In some situations, however, there are several types of oil leaks from the oil boom. Important factors regarding these phenomena include the surrounding ocean environment, such as waves, the density and viscosity of oil, the length of the oil boom skirt, etc. To estimate the performance of the oil boom, it is necessary to predict the behavior of the spilled oil and oil boom. In the present study, the prediction of oil boom performance in waves was carried out using the Pusan-National-University-modified Moving Particle Semi-implicit (PNU-MPS) method, which is an improved version of the original MPS proposed by Koshizuka and Oka (1996). The governing equations, which consist of continuity and Navier-Stokes equations, are solved by Lagrangian moving particles, and all terms expressed by differential operators in the governing equations are replaced by the particle interaction models based on a kernel function. The simulation results were validated through a comparison with the results of Violeau et al. (2007)..

키워드

참고문헌

  1. Bae, S.H., Jung, Y.C., 2003. Modelling of Oil Boom Failure using the Fluent. Journal of Korean Navigation and Port Research, 27(2), 239-246. https://doi.org/10.5394/KINPR.2003.27.2.239
  2. Dean, R.G., Dalrymple, R.A., 1984. Water Wave Mechanics for Engineers and Scientists. Prentice-Hall, Inc., US., 170-186.
  3. Goodman, R.H., Brown, H.M., AN, C.F., Rowe, R.D., 1996. Dynamic Modeling of Oil Boom Failure Using Computational Fluid Dynamics. Spill Science and Technology Bulletin, 3(4), 213-216. https://doi.org/10.1016/S1353-2561(97)00015-7
  4. Gotoh, H., Shibahara, T., Sakai, T., 2001. Sub-particle-scale Turbulence Model for the MPS Method - Lagrangian Flow Model for Hydraulic Engineering. Advanced Methods for Computational Fluid Dynamics, 9(4), 339-347.
  5. Hu, K., Mingham, C.G., Causon, D.M., 2000. Numerical Simulation of Wave Overtopping of Coastal Structures Using the Non-linear Shallow Water Equations. Coastal Engineering, 41, 433-465. https://doi.org/10.1016/S0378-3839(00)00040-5
  6. Jeong, S.M., Nam, J.W., Hwang, S.C., Park, J.C., Kim, M.H., 2013. Numerical Prediction of Oil Amount Leaked from a Damaged Tank Using Two-dimensional Moving Particle Simulation Method. Ocean Engineering, 69, 70-78. https://doi.org/10.1016/j.oceaneng.2013.05.009
  7. Khayyer, A., Gotoh, H., 2011. Enhancement of Stability and Accuracy of the Moving Particle Semi-implicit Method. Journal of Computational Physics, 230, 3093-3118. https://doi.org/10.1016/j.jcp.2011.01.009
  8. Koshizuka, S., Oka, T., 1996. Moving-particle Semi-implicit Method for Fragmentation of Incompressible Fluid. Nuclear Science and Engineering, 123, 421-434. https://doi.org/10.13182/NSE96-A24205
  9. Lee, B.H., Jeong, S.M., Hwang, S.C., Park, J.C., Kim, M.H., 2013. A Particle Simulation of 2-D Vessel Motions Interacting with Liquid-Sloshing Cargo. Computer Modeling in Engineering and Science, 91(1), 43-63.
  10. Lee, B.H., Park, J.C., Kim, M.H., Hwang, S.C., 2011. Step-bystep Improvement of MPS Method in Simulating Violent Free-surface Motions and Impact-loads. Comput. Methods Appl. Mech. Engrg., 200, 1113-1125. https://doi.org/10.1016/j.cma.2010.12.001
  11. Lee, C.M, Kang, K.H., 1997. Prediction of Oil Boom Performance in Currents and Waves. Spill Science and Technology Bulletin, 4, 257-266. https://doi.org/10.1016/S1353-2561(98)00022-X
  12. Milgram, J.H., Van Houlten, R.J., 1978. Mechanics of a Restrained Layer of Floating Oil above a Water Current. Journal of Hydronautics, 12(3), 93-108. https://doi.org/10.2514/3.63119
  13. Park, J.C., Lee, B.H., Hong, K.Y., 2008. Wave Overtopping Simulations over Coastal Structures. Journal of Mechanical Science and Technology, 22, 1222-1229. https://doi.org/10.1007/s12206-008-0304-1
  14. Saville, T., 1995. Laboratory Data on Wave Run up and Overtopping on Shore Structures. Dayton, Ohio, U.S. Army, Beach Erosion Board, Document Service Centre, 64.
  15. Soliman, A. Raslan, M.S., Reeve, D.E., 2003. Numerical Simulation of Wave Overtopping Using Two Dimensional Breaking Wave Model. Coastal Engineering VI, Cadiz, Spain, 439-447.
  16. Violeau, D., Buvat, C., Abed-Meraim, K., de Nanteuil, E., 2007. Numerical Modelling of Boom and Oil Spill with SPH. Coastal Engineering. 54, 895-913. https://doi.org/10.1016/j.coastaleng.2007.06.001
  17. Xing, F., Wanqing, W., Bin, Z., 2010. Numerical Experimental Set-up of Oil Containment by Rigid Floating Boom in Wave. Bioinformatics and Biomedical Engineering Conf., 1-5.
  18. Zheng, Z., AN, C.-F., 1999. Preliminary Numerical Simulation of Boom Failure with VOF Model. ACTA SCIENTIAE CIRCUMSTANTIAE, 19, 604-609.