Parametric roll vulnerability of ships using Markov and Melnikov approaches

The designs of modern container ships, roll-on–roll-off vessels and cruise vessels have evolved over the years, and in recent times, some of them have been observed to experience dynamic instabilities during operation in the open ocean. These catastrophic events demonstrate that satisfying prescriptive stability rules set forth by International Maritime Organization (IMO), national authorities (e.g., Coast Guard) and other classification societies are not sufficient to ensure dynamic stability of ships at sea. In light of these events, IMO is organizing efforts to make way toward a second generation of intact stability criteria that are better equipped to deal with these dynamic instabilities. This paper discusses the development of such a tool for parametric rolling in a realistic random seaway, which is one of the critical phenomena identified by IMO. In this study, a previously developed analytical model for roll restoring moment, which was found to be effective in modeling the problem of parametric roll, is analyzed using the Melnikov approach. The stability of the system is quantified in terms of rate of phase space flux of the system. This approach is further compared with another technique known as the Markov approach that is based on stochastic averaging and quantifies stability in terms of mean first passage time. The sensitivity of both of these metrics to environmental parameters is investigated. Finally, the nature of random response is analyzed using Lyapunov exponents to determine whether the vessel exhibits any chaotic dynamics.

[1]  Abhilash Somayajula,et al.  Reliability Assessment of Hull Forms Susceptible to Parametric Roll in Irregular Seas , 2017 .

[2]  J. Roberts,et al.  Energy-Based Stochastic Estimation for Nonlinear Oscillators With Random Excitation , 2000 .

[3]  Jeffrey M. Falzarano,et al.  Markov and Melnikov based methods for vessel capsizing criteria , 2013 .

[4]  Emil Simiu,et al.  Chaotic Transitions in Deterministic and Stochastic Dynamical Systems: Applications of Melnikov Processes in Engineering, Physics, and Neuroscience. , 2002 .

[5]  Abhilash Somayajula,et al.  Non-Linear Dynamics of Parametric Roll of Container Ship in Irregular Seas , 2014 .

[6]  Abhilash Somayajula,et al.  Application of Volterra Series Analysis for Parametric Rolling in Irregular Seas , 2014 .

[7]  A. Wolf,et al.  Determining Lyapunov exponents from a time series , 1985 .

[8]  Abhilash Somayajula,et al.  An overview of the prediction methods for roll damping of ships , 2015 .

[9]  D. W. Jordan,et al.  Nonlinear ordinary differential equations : an introduction to dynamical systems , 1999 .

[10]  Kostas J. Spyrou,et al.  The nonlinear dynamics of ship motions: a field overview and some recent developments , 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[11]  Jeffrey M. Falzarano,et al.  Gaussian and non-Gaussian cumulant neglect application to large amplitude rolling in random waves , 2011 .

[13]  W. Zhu Lyapunov exponent and stochastic stability of quasi-non-integrable Hamiltonian systems , 2004 .

[14]  Abhilash Somayajula,et al.  An efficient assessment of vulnerability of a ship to parametric roll in irregular seas using first passage statistics , 2019, Probabilistic Engineering Mechanics.

[15]  K. J. Spyrou,et al.  Dynamic Instability in Quartering Seas: The Behavior of a Ship During Broaching , 1996 .

[16]  P. Holmes,et al.  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.

[17]  X Hunang,et al.  THE PROBABILITY DISTRIBUTION OF ROLLING AMPLITUDE OF A SHIP IN HIGH WAVES , 1994 .

[18]  Bernt J. Leira,et al.  Stochastic Dynamic Analysis and Reliability of a Vessel Rolling in Random Beam Seas , 2015 .

[20]  元良 信太郎,et al.  The Rolling of Ships , 1892, Nature.

[21]  Abhilash Somayajula,et al.  Estimation of Roll Motion Parameters using R-MISO System Identification Technique , 2016 .

[22]  Thomas W. Treakle,et al.  An Investigation of Head-Sea Parametric Rolling and its Influence on Container Lashing Systems , 2003 .

[23]  J. Thompson,et al.  Mechanics of ship capsize under direct and parametric wave excitation , 1992, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[24]  Philip Holmes,et al.  Repeated Resonance and Homoclinic Bifurcation in a Periodically Forced Family of Oscillators , 1984 .

[25]  Jeffrey M. Falzarano,et al.  Parametric roll of container ships in head waves , 2012 .

[26]  Henry Moseley On the Dynamical Stability and on the Oscillations of Floating Bodies , 1843 .

[27]  Gabriele Bulian DEVELOPMENT OF ANALYTICAL NONLINEAR MODELS FOR PARAMETRIC ROLL AND HYDROSTATIC RESTORING VARIATIONS IN REGULAR AND IRREGULAR WAVES , 2006 .

[28]  Leon O. Chua,et al.  Practical Numerical Algorithms for Chaotic Systems , 1989 .

[29]  Armin W. Troesch,et al.  Capsize criteria for ship models with memory-dependent hydrodynamics and random excitation , 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[30]  Abhilash Somayajula,et al.  Parametric Roll of High Speed Ships in Regular Waves , 2013 .

[31]  L. Virgin THE NONLINEAR ROLLING RESPONSE OF A VESSEL INCLUDING CHAOTIC MOTIONS LEADING TO CAPSIZE IN REGULAR SEAS , 1987 .

[32]  Application de la méthode de Melnikov pour l'étude du roulis non linéaire des navires dans la houle , 1999 .

[33]  S. Wiggins Introduction to Applied Nonlinear Dynamical Systems and Chaos , 1989 .

[34]  Jeffrey M. Falzarano,et al.  APPLICATION OF GLOBAL METHODS FOR ANALYZING DYNAMICAL SYSTEMS TO SHIP ROLLING MOTION AND CAPSIZING , 1992 .

[35]  Changben Jiang,et al.  Highly nonlinear rolling motion leading to capsize. , 1995 .

[36]  Abhilash Somayajula,et al.  Application of advanced system identification technique to extract roll damping from model tests in order to accurately predict roll motions , 2017 .

[37]  Kostas J. Spyrou,et al.  Damping Coefficients for Extreme Rolling and Capsize: An Analytical Approach , 2000 .

[38]  J. B. Roberts Nonlinear Analysis of Slow Drift Oscillations of Moored Vessels in Random Seas , 1981 .

[39]  Abhilash Somayajula,et al.  Large-amplitude time-domain simulation tool for marine and offshore motion prediction , 2015 .

[40]  Armin W. Troesch,et al.  Predictive method for vessel capsize in random seas , 1993 .

[41]  S. Hsieh,et al.  A nonlinear probabilistic method for predicting vessel capsizing in random beam seas , 1994, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[42]  Jeffrey M. Falzarano,et al.  Predicting Complicated Dynamics Leading to Vessel Capsizing , 1990 .

[43]  Emil Simiu,et al.  Noise-induced chaos and phase space flux , 1993 .

[44]  Ali H. Nayfeh,et al.  NONLINEAR ROLLING OF SHIPS IN REGULAR BEAM SEAS , 1986 .

[45]  R. Devaney An Introduction to Chaotic Dynamical Systems , 1990 .

[46]  Stephen M. Carmel Study of Parametric Rolling Event on a Panamax Container Vessel , 2006 .

[47]  Abhilash Somayajula,et al.  Validation of Volterra Series Approach for Modelling Parametric Rolling of Ships , 2015 .

[48]  Zhiyong Su,et al.  Nonlinear Response and Stability Analysis of Vessel Rolling Motion in Random Waves Using Stochastic Dynamical Systems , 2012 .

[49]  Abhilash Somayajula,et al.  A Comparative Assessment of Simplified Models for Simulating Parametric Roll , 2017 .

[50]  Abhilash Somayajula,et al.  Critical assessment of reverse-MISO techniques for system identification of coupled roll motion of ships , 2017 .

[51]  Abhilash Somayajula,et al.  Added resistance and parametric roll prediction as a design criteria for energy efficient ships , 2014 .