DOI QR코드

DOI QR Code

Performance analyses of naval ships based on engineering level of simulation at the initial design stage

  • Jeong, Dong-Hoon (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Roh, Myung-Il (Department of Naval Architecture and Ocean Engineering, Research Institute of Marine Systems Engineering, Seoul National University) ;
  • Ham, Seung-Ho (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Lee, Chan-Young (Daewoo Shipbuilding & Marine Engineering Co., Ltd.)
  • Received : 2016.08.19
  • Accepted : 2016.12.25
  • Published : 2017.07.31

Abstract

Naval ships are assigned many and varied missions. Their performance is critical for mission success, and depends on the specifications of the components. This is why performance analyses of naval ships are required at the initial design stage. Since the design and construction of naval ships take a very long time and incurs a huge cost, Modeling and Simulation (M & S) is an effective method for performance analyses. Thus in this study, a simulation core is proposed to analyze the performance of naval ships considering their specifications. This simulation core can perform the engineering level of simulations, considering the mathematical models for naval ships, such as maneuvering equations and passive sonar equations. Also, the simulation models of the simulation core follow Discrete EVent system Specification (DEVS) and Discrete Time System Specification (DTSS) formalisms, so that simulations can progress over discrete events and discrete times. In addition, applying DEVS and DTSS formalisms makes the structure of simulation models flexible and reusable. To verify the applicability of this simulation core, such a simulation core was applied to simulations for the performance analyses of a submarine in an Anti-SUrface Warfare (ASUW) mission. These simulations were composed of two scenarios. The first scenario of submarine diving carried out maneuvering performance analysis by analyzing the pitch angle variation and depth variation of the submarine over time. The second scenario of submarine detection carried out detection performance analysis by analyzing how well the sonar of the submarine resolves adjacent targets. The results of these simulations ensure that the simulation core of this study could be applied to the performance analyses of naval ships considering their specifications.

Keywords

References

  1. Babaoglu, O.K., 1998. Designing an Automatic Control System for a Submarine (M.Sc. Thesis). Naval Postgraduate School, USA.
  2. Bang, K.W., 2006. Combined Discrete Event and Discrete Time Simulation Framework for Shipbuilding Process Planning (M.Sc. thesis). Seoul National University, Korea.
  3. Cha, J.H., Roh, M.I., Lee, K.Y., 2010a. Combined discrete event and discrete time simulation framework and its application to the block erection process in shipbuilding. Adv. Eng. Softw. 41 (4), 656-665. https://doi.org/10.1016/j.advengsoft.2009.12.006
  4. Cha, J.H., Roh, M.I., Lee, K.Y., 2010b. Integrated simulation framework for the process planning of ships and offshore structures. Robotics Comput. Int. Manuf. J. 26 (5), 430-453. https://doi.org/10.1016/j.rcim.2010.01.001
  5. Etter, P.C., 2013. Underwater Acoustic Modeling and Simulation. CRC Press, USA.
  6. Gertler, M., Hagen, G.R., 1967. Standard Equations of Motion for Submarine Simulation. Naval Ship Research and Development Center, USA.
  7. Ha, S., Cha, J.H., Roh, M.I., Lee, K.Y., 2012a. Implementation of the submarine diving simulation in a distributed environment. Int. J. Nav. Archit. Ocean Eng. 4 (3), 211-227. https://doi.org/10.2478/IJNAOE-2013-0091
  8. Ha, S., Ku, N.K., Roh, M.I., Lee, K.Y., 2012b. Cell-based evacuation simulation considering human behavior in a passenger ship. Ocean. Eng. 53, 138-152. https://doi.org/10.1016/j.oceaneng.2012.05.019
  9. Karl, J., Tore, H., 1995. PID Controllers. Instrument Society of America, USA.
  10. Kaymal, T., 2013. Assessing the Operational Effectiveness of a Small Surface Combat Ship in an Anti-surface Warfare Environment (M.Sc. Thesis). Naval Postgraduate School, USA.
  11. Khaledi, S., Mann, H., Perkovich, J., Zayed, S., 2014. Design of an underwater mine detection system. In: Systems and Information Engineering Design Symposium, pp. 78-83.
  12. Li, K., Yu, J., Lei, J.W., 2012. Research on modeling and simulation of sonar performance using Simulink. Appl. Mech. Mater. 138-139, 804-809.
  13. Lind, E., 2014. Simulation and Control of Submarines (M.Sc. Thesis). Lund University, Sweden.
  14. Michael, A.A., 2010. Principles of Sonar Performance Modelling. Springer, UK.
  15. Michetti, S., Ratto, M., Spadoni, A., Figari, M., Altosole, M., Marcilli, G., 2010. Ship control system wide integration and the use of dynamic simulation techniques in the Fremm project. In: Electrical Systems for Aircraft, Railway and Ship Propulsion, No. 5665266.
  16. Martelli, M., Figari, M., Altosole, M., Vignolo, S., 2014a. Controllable pitch propeller actuating mechanism, modelling and simulation. In: Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, vol. 228, pp. 29-43, 1.
  17. Martelli, M., Viviani, M., Altosole, M., Figari, M., Vignolo, S., 2014b. Numerical modelling of propulsion, control and ship motions in 6 degrees of freedom. In: Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment, vol. 228, pp. 373-397, 4.
  18. Martelli, M., 2015. Marine propulsion Simulation: Methods and Results. De Gruyter Open, Poland.
  19. Praehofer, H., 1991. System Theoretic Foundations for Combined Discrete-continuous System Simulation (Ph.D. Thesis). Johannes Kepler University, Austria.
  20. Son, M.J., 2012. Maneuvering control simulation of underwater vehicle based on combined discrete-event and discrete-time modeling. Expert. Syst. Appl. 39 (17), 12992-13008. https://doi.org/10.1016/j.eswa.2012.05.099
  21. Urick, R.J., 1983. Principles of Underwater Sound. McGraw-Hill Book Company, USA.
  22. Vrijdag, A., Schulten, P., Stapersma, D., Van Terwisga, T., 2007. Efficient uncertainty analysis of a complex multidisciplinary simulation model. In: Proceedings of the Institute of Marine Engineering, Science and Technology Part A: Journal of Marine Engineering and Technology, vol. 10, pp. 79-88.
  23. Zeigler, B.P., Praehofer, H., Kim, T.G., 2000. Theory of Modeling and Simulation. Academic Press, New York.

Cited by

  1. Case study of detection and maneuvering performance of naval ships using engagement simulation of engineering level vol.7, pp.3, 2017, https://doi.org/10.12989/ose.2017.7.3.247
  2. SE 기반 기술검토 및 요구사항 관리 프로세스의 통합을 통한 잠수함 기본설계 프로세스의 개선 vol.19, pp.11, 2018, https://doi.org/10.5762/kais.2018.19.11.96