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Visual simulation of a capsizing ship in stormy weather condition

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Abstract

Ship capsizes in the extreme weather condition are difficult to predict, even though they cause a great number of casualties. Numerical methods have been developed to analyze the capsize phenomena and to predict the possible capsizes. The visual simulation can augment the physical evaluation of ship motion and validation of the experimental results. However, most of the existing visual simulations merely focus on the normal ship motion in general sea state and have less fascinating visual effect (VFX) compared with those in movie industry. In this paper, we propose a visual simulation method to generate stormy wave surface, to simulate wave properties such as splash and wake using particle simulation, to render the wave and its relevant stormy features and finally to compose the visual effects together. Wave simulation is based on the modified Tessendorf grid method of ocean wave, and SPH particles are adopted to simulate the wave properties. Lastly, the integrated rendering is to produce the scene of ship motion in storm condition.

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References

  1. Balakhontceva, M., Karbovskii, V., Sutulo, S., Boukhanovsky, A.: Multi-agent simulation of passenger evacuation from a damaged ship under storm conditions. Procedia Comput. Sci. 80, 2455–2464 (2016). https://doi.org/10.1016/j.procs.2016.05.547

    Article  Google Scholar 

  2. Kang, Yuna, Kim, Hyunki, Han, Soonhung: Visualization of the synthetic environment data representation & interchange specification data for verifying large-scale synthetic environment data. J. Def. Model. Simul. 12(4), 507–518 (2015)

    Article  Google Scholar 

  3. Darles, E., Crespin, B., Ghazanfarpour, D., Gonzato, J-C.: A survey of ocean simulation and rendering techniques in computer graphics. In: Computer Graphics Forum, vol. 30, no. 1, pp. 43–60. Blackwell Publishing Ltd (2011)

  4. Claes, P.: Controlling fluid simulations with custom fields in Houdini Master Thesis (2009)

  5. Visual effects breakdown of “The Life of Pi”. https://www.youtube.com/watch?v=HcBSLwnKciw&t=33s

  6. Visual effects breakdown of “The Perfect Storm”. https://www.youtube.com/watch?v=W9Tdw5nG4dQ

  7. Visual effects breakdown of “the Low Budget Perfect Storm”, https://www.youtube.com/watch?v=W9Gyb7hkDCU

  8. Wu, E., Zhu, H., Liu, X., et al.: Vis. Comput. 23, 299 (2007). https://doi.org/10.1007/s00371-007-0106-y

    Article  Google Scholar 

  9. Miandji, E., Sargazi Moghadam, M.H., Samavati, F.F., et al.: Real-time multi-band synthesis of ocean water with new iterative up-sampling technique. Vis. Comput. 25, 697 (2009). https://doi.org/10.1007/s00371-009-0352-2

    Article  Google Scholar 

  10. Wang, C., Zhang, Q., Kong, F., et al.: Hybrid particle–grid fluid animation with enhanced details. Vis. Comput. 29, 937 (2013). https://doi.org/10.1007/s00371-013-0849-6

    Article  Google Scholar 

  11. He, J., Chen, X., Wang, Z., et al.: Real-time adaptive fluid simulation with complex boundaries. Vis. Comput. 26, 243 (2010). https://doi.org/10.1007/s00371-010-0426-1

    Article  Google Scholar 

  12. Layton, A., van de Panne, M.: A numerically efficient and stable algorithm for animating water waves. Vis. Comput. 18, 41 (2002). https://doi.org/10.1007/s003710100131

    Article  MATH  Google Scholar 

  13. Tessendorf, Jerry: Simulating ocean water. Simulating nature: realistic and interactive techniques. SIGGRAPH 1(2), 5 (2001)

    Google Scholar 

  14. Wu, B., Yan, X., Wang, Y., Wei, X.: Maritime emergency simulation system (MESS)—a virtual decision support platform for emergency response of maritime accidents. In: 2014 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), Vienna, Austria, 2014, pp. 155–162. https://doi.org/10.5220/0005039401550162. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7095015&isnumber=7094932

  15. Stewart, W.K.: Visualization resources and strategies for remote subsea exploration. Vis. Comput. 8, 361 (1992). https://doi.org/10.1007/BF01897122

    Article  Google Scholar 

  16. de Kat, J.O., Paulling, J.R.: Simulation of ship motions and capsizing in severe seas. Trans. Soc. Naval Archit. Mar. Eng. 97, 139–168 (1989)

    Google Scholar 

  17. Belenky, V.L., Sevastianov, N.B.: Stability and safety of ships: risk of capsizing, 2nd edn. Society of Naval Architects and Marine Engineers, Jersey City, NJ (2007)

    Google Scholar 

  18. Paroka, Daeng, Ohkura, Yuuichi, Umeda, Naoya: Analytical prediction of capsizing probability of a ship in beam wind and waves. J. Ship Res. 50(2), 187–195 (2006)

    Google Scholar 

  19. Ruponen, P.: Progressive flooding of a damaged passenger ship. Helsinki University of Technology (2007)

  20. Papanikolaou, A.: Review of damage stability of ships—recent developments and trends. In: Proceedings 10th Int. symposium on practical design of ships and other floating structures (PRADS) 2007. Houston (2007)

  21. Dankowski, D.H.: A fast and explicit method for simulating flooding and sinkage scenarios of ships. TUHH Universitätsbibliothek (2013). https://doi.org/10.15480/882.1125

  22. Ueng, Shyh-Kuang: Physical models for simulating ship stability and hydrostatic motions. J. Mar. Sci. Technol. (Taiw.) 21, 674–685 (2013). https://doi.org/10.6119/JMST-012-1121-1

    Article  Google Scholar 

  23. Ueng, S.K., Lin, D., Liu, C.H.: Virtual Real. 12, 65 (2008). https://doi.org/10.1007/s10055-008-0088-8

    Article  Google Scholar 

  24. Varela, J.M., Rodrigues, J.M., Guedes Soares, C.: 3D simulation of ship motions to support the planning of rescue operations on damaged ships. Procedia Comput. Sci. 51, 2397–2405 (2015). https://doi.org/10.1016/j.procs.2015.05.416

    Article  Google Scholar 

  25. Zhang, X., Jin, Y., Yin, Y., Li, Z.: Ship simulation using virtual reality technique. In: VRCAI (2004)

  26. Kobyliński, Lech: Stability of ships: risk assessment due hazards created by forces of the sea. Arch. Civil Mech. Eng. 8(1), 37–45 (2008)

    Article  Google Scholar 

  27. Yeo, Dong Jin, Cha, Moohyun, Mun, Duhwan: Simulating ship and buoy motions arising from ocean waves in a ship handling simulator. Simulation 88(12), 1407–1418 (2012)

    Article  Google Scholar 

  28. Sandaruwan, Damitha, Kodikara, Nihal, Keppitiyagama, Chamath, Rosa, Rexy: A six degrees of freedom ship simulation system for maritime education. Int. J. Adv. ICT Emerg. Reg. 3(2), 34–47 (2010)

    Google Scholar 

  29. Varela, J.M.: Virtual reality models for ship damage control (2014)

  30. Yuksel, C., House, D.H., Keyser, J.: Wave particles. In: ACM SIGGRAPH 2007 papers (SIGGRAPH ‘07). ACM, New York, NY, USA, Article 99 (2007). https://doi.org/10.1145/1275808.1276501

  31. Horvath, P., Illes, D.: Sph-based fluid simulation for special effects. In: The 11th Central European Seminar on Computer Graphics, 23–25 April 2007 Budmerice, Slovakia (2007)

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Funding

The research presented in this paper is conducted as a part of Master Thesis, which is funded by iCAD laboratory in mechanical engineering of KAIST.

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  1. Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

    Lin Wang & Soonhung Han

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  1. Lin Wang
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  2. Soonhung Han
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Correspondence to Lin Wang.

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Wang, L., Han, S. Visual simulation of a capsizing ship in stormy weather condition. Vis Comput 35, 1855–1868 (2019). https://doi.org/10.1007/s00371-018-1579-6

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