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Solving the Problem of Nonlinear Ship Roll Motion Using Stochastic Dynamics

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Book cover Contemporary Ideas on Ship Stability

Part of the book series: Fluid Mechanics and Its Applications ((FMIA,volume 119))

Abstract

Due to nonlinear viscous damping and the softening characteristic of the stiffness, the roll motion of a ship exhibits complex dynamics. Specifically predicting the probabilistic characteristics of roll response in an irregular seaway is still a challenging problem and continues to be of interest for both practitioners and researchers. In this work two techniques from the theory of stochastic dynamics are applied to study the probabilistic nature of roll motion in irregular seas. The first method is the “Moment Equation method” where the roll response moment equation is formulated from a six dimensional state space rolling model with a fourth order linear filter using the Itô differential rule. The resulting moment equations are solved using a cumulant neglect technique. Alternatively in the second approach, the probability density function of the rolling response is evaluated by solving the corresponding Fokker Planck Equation of the system using “Path Integral method”.

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References

  • Chai W, Naess A, Leira BJ (2015) Stochastic Dynamic Analysis and Reliability of a Vessel Rolling in Random Beam Seas. Journal of Ship Research 59(2):113–131

    Article  Google Scholar 

  • Falzarano J, Vishnubhotla S, Cheng J (2004) Nonlinear Dynamic Analysis of Ship Capsizing in Random Waves. In: 14th International Offshore and Polar Engineering Conference, The International Society of Offshore and Polar Engineers, Toulon, France, vol 1, pp 479–484

    Google Scholar 

  • Falzarano J, Somayajula A, Seah R (2015) An overview of the prediction methods for roll damping of ships. Ocean Systems Engineering 5(2):55–76

    Article  Google Scholar 

  • Falzarano JM, Shaw SW, Troesch AW (1992) Application of Global Methods for Analyzing Dynamical Systems To Ship Rolling Motion and Capsizing. International Journal of Bifurcation and Chaos 02(01):101–115, https://doi.org/10.1142/S0218127492000100

    Article  MathSciNet  MATH  Google Scholar 

  • Falzarano JM, Vishnubhotla S, Juckett SE (2010) Combined Steady State and Transient Analysis of a Patrol Vessel as Affected by Varying Amounts of Damping and Periodic and Random Wave Excitation. Journal of Offshore Mechanics and Arctic Engineering 132(1):014,501, https://doi.org/10.1115/1.4000390

    Article  Google Scholar 

  • Francescutto A (1990) On the Non-linear Motions of Ships and Structures in Narrow Band Sea. In: IUTAM Symposium on Dynamics of Marine Vehicles and Structures in Waves, Elsevier, London, UK, pp 291–304

    Google Scholar 

  • Francescutto A, Naito S (2004) Large amplitude rolling in a realistic sea. International shipbuilding progress 51(2):221–235

    Google Scholar 

  • Guha A, Somayajula A, Falzarano J (2016) Time domain simulation of large amplitude motions in shallow water. In: 21st SNAME Offshore Symposium, Society of Naval Architects and Marine Engineers, Houston, February

    Google Scholar 

  • Hsieh SR, Troesch aW, Shaw SW (1994) A Nonlinear Probabilistic Method for Predicting Vessel Capsizing in Random Beam Seas. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 446(1926):195–211, https://doi.org/10.1098/rspa.1994.0099

    Article  Google Scholar 

  • Jamnongpipatkul A, Su Z, Falzarano JM (2011) Nonlinear ship rolling motion subjected to noise excitation. Ocean Systems Engineering 1(3):249–261, https://doi.org/10.12989/ose.2011.1.3.249

    Article  Google Scholar 

  • Jiang C, Troesch AWA, Shaw SWS (2000) Capsize criteria for ship models with memory-dependent hydrodynamics and random excitation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 358(1771):1761–1791, https://doi.org/10.1098/rsta.2000.0614

    Article  MathSciNet  MATH  Google Scholar 

  • Jiang CB, Troesch AW, Shaw SW (1996) Highly nonlinear rolling motion of biased ships in random beam seas. Journal of Ship Research 40(2):125–135

    Google Scholar 

  • Lin H, Yim SC (1995) Chaotic roll motion and capsize of ships under periodic excitation with random noise. Applied Ocean Research 17(3):185–204, https://doi.org/10.1016/0141-1187(95)00014-3

    Article  Google Scholar 

  • Moideen H, Falzarano JM, Sharma S (2012) Parametric roll of container ships in head waves. International Journal of Ocean Systems Engineering 2(4):239–255, https://doi.org/10.12989/ose.2012.2.4.239

    Article  Google Scholar 

  • Moideen H, Somayajula A, Falzarano JM (2013) Parametric Roll of High Speed Ships in Regular Waves. In: Proceedings of ASME 2013 32nd International Conferences on Ocean, Offshore and Arctic Engineering, ASME, vol 5, p V005T06A095, https://doi.org/10.1115/OMAE2013-11602

  • Moideen H, Somayajula A, Falzarano JMJ (2014) Application of Volterra Series Analysis for Parametric Rolling in Irregular Seas. Journal of Ship Research 58(2):97–105, https://doi.org/10.5957/JOSR.58.2.130047

    Article  Google Scholar 

  • Naess A, Moe V (2000) Efficient path integration methods for nonlinear dynamic systems. Probabilistic Engineering Mechanics 15(2):221–231, https://doi.org/10.1016/S0266-8920(99)00031-4

    Article  Google Scholar 

  • Roberts JB, Spanos PD (2003) Random Vibration and Statistical Linearization. Dover Publications, Mineola, New York

    Google Scholar 

  • Roberts JB, Vasta M (2000) Markov modelling and stochastic identification for nonlinear ship rolling in random waves. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 358(1771):1917–1941, https://doi.org/10.1098/rsta.2000.0621

    Article  MathSciNet  MATH  Google Scholar 

  • Somayajula A, Falzarano J (2015a) Large-amplitude time-domain simulation tool for marine and offshore motion prediction. Marine Systems & Ocean Technology 10(1):1–17, https://doi.org/10.1007/s40868-015-0002-7

    Article  Google Scholar 

  • Somayajula A, Falzarano JM (2014) Non-linear Dynamics of Parametric Roll of Container Ship in Irregular Seas. In: Proceedings of ASME 2014 33rd International Conferences on Ocean, Offshore and Arctic Engineering, San Francisco, pp 1–10, https://doi.org/10.1115/OMAE2014-24186

  • Somayajula A, Falzarano JM (2015b) Validation of Volterra Series Approach for Modelling Parametric Rolling of Ships. In: Proceedings of ASME 2015 34th International Conferences on Ocean, Offshore and Arctic Engineering, American Society of Mechanical Engineers, St. John’s, NL, Canada

    Google Scholar 

  • Somayajula A, Guha A, Falzarano J, Chun HH, Jung KH (2014) Added resistance and parametric roll prediction as a design criteria for energy efficient ships. International Journal of Ocean Systems Engineering 4(2):117–136, https://doi.org/10.12989/ose.2014.4.2.117

    Article  Google Scholar 

  • Somayajula AS, Falzarano JM (2016) A comparative assessment of simplified models for simulating parametric roll. Journal of Offshore Mechanics and Arctic Engineering https://doi.org/10.1115/1.4034921

    Google Scholar 

  • Spanos PTD (1983) ARMA Algorithms for Ocean Wave Modeling. Journal of Energy Resources Technology 105(3):300, https://doi.org/10.1115/1.3230919

    Article  Google Scholar 

  • Spyrou KJ, Thompson JMT (2000) The nonlinear dynamics of ship motions: a field overview and some recent developments. Philosophical Transactions of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences 358(1771):1735–1760

    Article  MathSciNet  Google Scholar 

  • Stark H, Woods JW (2002) Probability and random processes with applications to signal processing. Prentice Hall, Upper Saddle River, NJ

    Google Scholar 

  • Su Z, Falzarano JM (2011) Gaussian and non-Gaussian cumulant neglect application to large amplitude rolling in random waves. International Shipbuilding Progress 58:97–113, https://doi.org/10.3233/ISP-2011-0071

    Article  Google Scholar 

  • Su Z, Falzarano JM (2013) Markov and Melnikov based methods for vessel capsizing criteria. Ocean Engineering 64:146–152, https://doi.org/10.1016/j.oceaneng.2013.02.002

    Article  Google Scholar 

  • Su Z, Falzarano JM, Su Z (2011) Gaussian and Non Gaussian Response of Ship Rolling in Random Beam Waves. In: Proceedings of the12th International Ship Stability Workshop, Washington DC, USA, pp 189–193

    Google Scholar 

  • Thompson JMT (1997) Designing Against Capsize in Beam Seas: Recent Advances and New Insights. Applied Mechanics Reviews 50(5):307, https://doi.org/10.1115/1.3101710

    Article  Google Scholar 

  • Vishnubhotla S, Falzarano J (2009) Effect of More Accurate Hydrodynamic Modeling on Calculating Critical Nonlinear Ship Rolling Response. In: Lecture Notes in Applied and Computational Mechanics, vol 44, pp 269–274, https://doi.org/10.1007/978-3-642-00629-6_27

    Article  Google Scholar 

  • Vishnubhotla S, Falzarano J, Vakakis A (2000) A new method to predict vessel/platform critical dynamics in a realistic seaway. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 358(1771):1967–1981, https://doi.org/10.1098/rsta.2000.0623

    Article  MATH  Google Scholar 

  • Webster W (1989) Motion in Regular Waves - Transverse Motions. In: Lewis E (ed) Principles of Naval Architecture Vol III, SNAME, Jersey City, New Jersey

    Google Scholar 

  • Yim SCS, Lin H (2001) Unified Analysis of Complex Nonlinear Motions via Densities. Nonlinear Dynamics 24(1):103–127, https://doi.org/10.1023/A:1026583521930

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

The work has been funded by the Office of Naval Research (ONR) T-Craft Tools development program ONR Grant N00014-07- 1-1067 with program manager Kelly Cooper.

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Correspondence to Jeffrey M. Falzarano .

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Falzarano, J.M., Su, Z., Jamnongpipatkul, A., Somayajula, A. (2019). Solving the Problem of Nonlinear Ship Roll Motion Using Stochastic Dynamics. In: Belenky, V., Spyrou, K., van Walree, F., Almeida Santos Neves, M., Umeda, N. (eds) Contemporary Ideas on Ship Stability. Fluid Mechanics and Its Applications, vol 119. Springer, Cham. https://doi.org/10.1007/978-3-030-00516-0_25

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  • DOI: https://doi.org/10.1007/978-3-030-00516-0_25

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