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An optimization framework of a parametric Octabuoy semi-submersible design

  • Xie, Zhitian (Texas A&M University, Ocean Engineering Department, College Station) ;
  • Falzarano, Jeffrey (Texas A&M University, Ocean Engineering Department, College Station)
  • Received : 2019.05.27
  • Accepted : 2020.09.13
  • Published : 2020.12.31

Abstract

An optimization framework using genetic algorithms has been developed towards an automated parametric optimization of the Octabuoy semi-submersible design. Compared with deep draft production units, the design of the shallow draught Octabuoy semi-submersible provides a floating system with improved motion characteristics, being less susceptible to vortex induced motions in loop currents. The relatively large water plane area results in a decreased natural heave period, which locates the floater in the wave period range with more wave energy. Considering this, the hull design of Octabuoy semi-submersible has been optimized to improve the floater's motion performance. The optimization has been conducted with optimized parameters of the pontoon's rectangular cross section area, the cone shaped section's height and diameter. Through numerical evaluations of both the 1st-order and 2nd-order hydrodynamics, the optimization through genetic algorithms has been proven to provide improved hydrodynamic performance, in terms of heave and pitch motions. This work presents a meaningful framework as a reference in the process of floating system's design.

Keywords

Acknowledgement

This research work was partially supported by the Ocean Systems Simulation & Control Laboratory, Texas A&M University. This support is gratefully acknowledged by the authors.

References

  1. Birk, L., Clauss, G.F., 2001. Automated hull optimization of offshore structures based on rational seakeeping criteria. Proceedings of the 11th International Offshore and Polar Engineering Conference, Stavanger, Norway 17-22 June 2001.
  2. Clauss, G.F., Birk, L., 1996. Hydrodynamic shape optimization of large offshore structures. Appl. Ocean Res. 18, 157-171. https://doi.org/10.1016/S0141-1187(96)00028-4
  3. Guha, A., Falzarano, J.M., 2015a. The effect of hull emergence angle on the near field formulation of added resistance. Ocean. Eng. 105, 10-24. https://doi.org/10.1016/j.oceaneng.2015.06.012
  4. Guha, A., Falzarano, J.M., 2015b. Estimation of hydrodynamic forces and motions of ships with steady forward speed. Int. Shipbuild. Prog. 62, 113-138. https://doi.org/10.3233/ISP-150118
  5. Guha, A., Falzarano, J.M., 2016a. Optimization of a parametric FLNG in finite water depth. Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, Busan, South Korea 19-24 June 2016.
  6. Guha, A., Falzarano, J.M., 2016b. The effect of small forward speed on prediction of wave loads in restricted water depth. Ocean Systems Engineering 6 (4), 305-324. https://doi.org/10.12989/ose.2016.6.4.305
  7. Holland, J.H., 1973. Genetic algorithms and the optimal allocations of trials. SIAM J. Comput. 2 (2), 88-105. https://doi.org/10.1137/0202009
  8. Holland, J.H., 1984. Genetic algorithms and adaptation. Proceedings of the NATO advanced Research Institute on Adaptive Control of Ill-Defined Systems 16, 317-333. https://doi.org/10.1007/978-1-4684-8941-5_21
  9. Korbijn, F., Husem, I., Pettersen, E., 2005. Octabuoy SDM: A compact semisubmersible design for deepwater applications, 24th International Conference on Offshore Mechanics and Arctic Engineering, Halkidiki, Greece 12-17 June 2005.
  10. Liu, Y.J., Falzarano, J.M., 2017a. Improvement on the accuracy of mean drift force calculation. Proceedings of the ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering, Trondheim, Norway 23-30 June 2017.
  11. Liu, Y.J., Falzarano, J.M., 2017b. Irregular frequency removal methods: theory and applications in hydrodynamics. Journal of Marine System and Ocean Technology 12 (2), 49-64. https://doi.org/10.1007/s40868-017-0023-5
  12. Liu, Y.J., Falzarano, J.M., 2017c. A method to remove irregular frequencies and log singularity evaluation in wave-body interaction problems. Journal of Ocean Engineering and Marine Energy 3 (2), 161-189. https://doi.org/10.1007/s40722-017-0080-z
  13. Park, Y., Jang, B.S., Jeong, D.K., 2015. Hull-form optimization of semi-submersible FPU considering seakeeping capability and structural weight. Ocean. Eng. 104, 714-724. https://doi.org/10.1016/j.oceaneng.2015.04.009
  14. Papalambros, P.Y., Wilde, D.J., 2000. Principles of Optimal Design Modeling and Computation. Cambridge University Press.
  15. Pettersen, E., Machado-Damhaug, U.E., 2007. Parametric motion responses for deep draft production units. Proceedings of the 17th International Offshore and Polar Engineering Conference, Lisbon, Portugal 1-6 July 2007.
  16. Qiu, W.Z., Song, X.Y., Shi, K.Y., Zhang, X.S., Yuan, Z.M., You, Y.X., 2019. Multi-objective optimization of semi-submersible platforms using particle swam optimization algorithm based on surrogate model. Ocean. Eng. 178, 388-409. https://doi.org/10.1016/j.oceaneng.2019.02.039
  17. WAMIT User Manual. WAMIT, Inc.
  18. Xie, Z.T., Liu, Y.J., Falzarano, J.M., 2017. A more efficient numerical evaluation of the green function in finite water depth. Ocean Systems Engineering 7 (4), 399-412. https://doi.org/10.12989/OSE.2017.7.4.399
  19. Xie, Z.T., Liu, Y.J., Falzarano, J.M., 2019. A numerical evaluation of the quadratic transfer function for a floating structure. Proceedings of the ASME 2019 38th International Conference on Ocean. Offshore and Arctic Engineering, Glasgow, Scotland, UK.
  20. Xie, Z.T., Falzarano, J.M., 2020. A comparative study on 2nd-order wave loads with forward speed through Aranha's formula and Neumann-Kelvin linearization. Proceedings of the ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering, Virtual Conference, Online 3-7 Aug 2020.
  21. Xie, Z.T., Falzarano, J.M., Wang, H., 2020. A framework of numerically evaluating a maneuvering vessel in waves. J. Mar. Sci. Eng. 8 (6), 392. https://doi.org/10.3390/jmse8060392
  22. Zhang, X.S., Song, X.Y., Qiu, W.Z., Yuan, Z.M., You, Y.X., Deng, N.M., 2018. Multiobjective optimization of Tension Leg Platform using evolutionary algorithm based on surrogate model. Ocean. Eng. 148, 612-631. https://doi.org/10.1016/j.oceaneng.2017.11.038