A collaborative simulation in shipbuilding and the offshore installation based on the integration of the dynamic analysis, virtual reality, and control devices

  • Li, Xing (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Roh, Myung-Il (Department of the Naval Architecture and Ocean Engineering, and Research Institute of Marine Systems Engineering, Seoul National University) ;
  • Ham, Seung-Ho (School of Industrial and Naval Architecture, Changwon National University)
  • Received : 2018.01.28
  • Accepted : 2019.02.19
  • Published : 2019.02.18


It is difficult to observe the potential risks of lifting or turn-over operations in the early stages before a real operation. Therefore, many dynamic simulations have been designed to predict the risks and to reduce the possibility of accidents. These simulations, however, have usually been performed for predetermined and fixed scenarios, so they do not reflect the real-time control of an operator that is one of the most important influential factors in an operation; additionally, lifting or turn-over operations should be a collaboration involving more than two operators. Therefore, this study presents an integrated method for a collaborative simulation that allows multiple workers to operate together in the virtual world. The proposed method is composed of four components. The first component is a dynamic analysis that is based on multibody-system dynamics. The second component is VR (virtual reality) for the generation of realistic views for the operators. The third component comprises the control devices and the scenario generator to handle the crane in the virtual environment. Lastly, the fourth component is the HLA (high-level architecture)-based integrated simulation interface for the convenient and efficient exchange of the data through the middleware. To show the applicability of the proposed method, it has been applied to a block turn-over simulation for which one floating crane and two crawler cranes were used, and an offshore module installation for which a DCR (dual-crane rig) was used. In conclusion, the execution of the proposed method of this study is successful regarding the above two applications for which multiple workers were involved.


Supported by : National Research Foundation of Korea (NRF)


  1. Belmonte, O., Castaneda, M., Fernandez, D., Gil, J., Aguado, S., Varella, E., Nunez, M., Segarra, J., 2010. Federate resource management in a distributed virtual environment. Future Gener. Comput. Syst. 26 (3), 308-317.
  2. Bo, W., Hu, L., Yibo, Z., Yijie, S., 2011. HLA based collaborative simulation of civil aircraft ground services. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, Berlin, Heidelberg, pp. 734-741.
  3. Cha, J.H., Ham, S.H., Lee, K.Y., Roh, M.I., 2010a. Application of a topological modelling approach of multi-body system dynamics to simulation of multi-floating cranes in shipyards. Proc. Inst. Mech. Eng. - Part K J. Multi-body Dyn. 224 (4), 365-373.
  4. Cha, J.H., Roh, M.I., Lee, K.Y., 2010b. Integrated simulation framework for the process planning of ships and offshore structures. Robot. Comput. Integrated Manuf. 26 (5), 430-453.
  5. Cha, J.H., Roh, M.I., Lee, K.Y., 2010c. Dynamic response simulation of a heavy cargo suspended by a floating crane based on multibody system dynamics. Ocean Eng. 37 (14-15), 1273-1291.
  6. Cha, M., Han, S., Lee, J., Choi, B., 2012. A virtual reality based fire training simulator integrated with fire dynamics data. Fire Saf. J. 50, 12-24.
  7. Cummins, W.E., 1962. The impulse response function and ship motions. Schiffstechnik 57 (9), 101-109.
  8. Featherstone, R., 2008. Rigid Body Dynamics Algorithms. Springer.
  9. Ham, S.H., Roh, M.I., Zhao, L., 2017. Integrated method of analysis, visualization, and hardware for ship motion simulation. J. Comput. Des. Eng. 5 (3), 285-298.
  10. Ham, S.H., Roh, M.I., Lee, H.W., Ha, S., 2015. Multibody dynamic analysis of a heavy load suspended by a floating crane with constraint-based wire rope. Ocean Eng. 109, 145-160.
  11. Ku, N., Roh, M.I., 2015. Dynamic response simulation of an offshore wind turbine suspended by a floating crane. Ships Offshore Struct. 10 (6), 621-634.
  12. Lacoursiere, C., 2007. Ghosts and Machines: Regularized Variational Methods for Interactive Simulations of Multibodies with Dry Frictional Contacts. Spring.
  13. Lee, J.H., 2011. Analytical research of topside installation in mating phase with crane vessel. J. Ocean Eng. Technol. 25 (4), 1-6.
  14. Li, X., Gao, Q., Zhang, Z., Huang, X., 2012. Collaborative virtual maintenance training system of complex equipment based on immersive virtual reality environment. Assemb. Autom. 32 (1), 72-85.
  15. Longo, F., Chiurco, A., Musmanno, R., Nicoletti, L., 2015. Operative and procedural cooperative training in marine ports. J. Comput. Sci. 10, 97-107.
  16. RACoN.
  17. Shabana, A.A., 2010. Computational Dynamics. John Wiley & Sons.
  18. Simulation Interoperability Standards Committee (SISC), 2000. IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA) - Framework and Rules. IEEE Std. 1516-2000 I-22.
  19. Tozzi, D., Valdenazzi, F., Zini, A., 2014. LNCS 8906 - use of HLA federation for the evaluation of naval operations in ship design. LNCS 8906, 138-151.
  20. Ueng, S.K., Lin, D., Liu, C.H., 2008. A ship motion simulation system. Virtual Real. 12 (1), 65-76.
  21. Unity.
  22. Yu, Y., Duan, M., Sun, C., Zhong, Z., Liu, H., 2017. A virtual reality simulation for coordination and interaction based on dynamics calculation. Ships Offshore Struct. 12 (6), 873-884.