Skip to main content
Log in

Estimation of Rolling Motion of Ship in Random Beam Seas by Efficient Analytical and Numerical Approaches

  • Research Article
  • Published:
Journal of Marine Science and Application Aims and scope Submit manuscript

Abstract

A steady-state roll motion of ships with nonlinear damping and restoring moments for all times is modeled by a second-order nonlinear differential equation. Analytical expressions for the roll angle, velocity, acceleration, and damping and restoring moments are derived using a modified approach of homotopy perturbation method (HPM). Also, the operational matrix of derivatives of ultraspherical wavelets is used to obtain a numerical solution of the governing equation. Illustrative examples are provided to examine the applicability and accuracy of the proposed methods when compared with a highly accurate numerical scheme.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16

Similar content being viewed by others

References

  • Abualrub T, Abukhaled M (2015) Wavelets approach for optimal boundary control of cellular uptake in tissue engineering. Int J Comp Math 92(7):1402–1412. https://doi.org/10.1080/00207160.2014.941826

  • Abualrub T, Abukhaled M, Jamal B (2018) Wavelets approach for the optimal control of vibrating plates by piezoelectric patches. J Vibr Cont 24(6):1101–1108. https://doi.org/10.1177/1077546316657781

  • Abukhaled M (2013) Variational iteration method for nonlinear singular two-point boundary value problems arising in human physiology. J Math:ID:720134. https://doi.org/10.1155/2013/720134

  • Abukhaled M (2017) Green's function iterative approach for solving strongly nonlinear oscillators. J Comp Nonlinear Dyn 12(5):051021. https://doi.org/10.1115/1.4036813

    Article  MathSciNet  Google Scholar 

  • Agarwal D (2015) A study on the feasibility of using fractional differential equations for roll damping models. Master thesis, Virginia Polytechnic Institute and State University. http://hdl.handle.net/10919/52959

  • Aloisio G, Felice F (2006) PIV analysis around the bilge keel of a ship model in a free roll decay. In: XIV Congresso Nazionale AI VE. LA., Rome, Italy

    Google Scholar 

  • Bassler CC, Carneal JB, Atsavapranee P (2007) Experimental investigation of hydrodynamic coefficients of a wavepiercing tumble home hull form. In: Proceeding of the 26th International Conference on Offshore Mechanics and Arctic Engineering, San Diego, USA

    Google Scholar 

  • Cardo A, Francescutto A, Nabergoj R (1981) Ultraharmonics and subharmonics in the rolling motion of a ship: steadystate solution. Int Ship building Progress 28:234–251

    Article  Google Scholar 

  • Cardo A, Francescutto A, Nabergoj R (1984) Nonlinear rolling response in a regular sea. Int Shipbuild Prog 31(360):204–206. https://doi.org/10.3233/ISP-1984-3136002

    Article  Google Scholar 

  • Chen CL, Liu YC (1998) Solution of two-point boundary-value problems using the differential transformation method. J Optimization Theory Appl 99:23–35

    Article  MathSciNet  Google Scholar 

  • Comini G, Del Guidice S, Lewis RW, Zienkiewicz OC (1970) Finite element solution of non-linear heat conduction problems with special reference to phase change. Num Meth Engg 8:613–624

    Article  Google Scholar 

  • Demirel H, Alarcin F (2016) LMI-based H2 and H1 state-feedback controller design for fin stabilizer of nonlinear roll motion of a fishing boat. Brodogradnja: Teorija i praksa brodogradnje i pomorske tehnike 67(4):91–107. https://doi.org/10.21278/brod67407

    Article  Google Scholar 

  • Demirel H, Dogrul A, Sezen S, Alarcin F (2017) Backstepping control of nonlinear roll motion for a trawler with fin stabilizer. Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering, Part A2 159, pp. 205-212. doi: 10.3940/rina.ijme.2017.a2.420

  • Doha EH, Abd-Elhameed WM, Youssri YH (2016) New ultraspherical wavelets collocation method for solving 2nth order initial and boundary value problems. J Egyp Math Soc 24:319–327. https://doi.org/10.1016/j.joems.2015.05.002

  • Froude W (1861) On the rolling of ships. Transactions of the Institution of Naval Architects 2, 1861, 180–229.

  • He JH (1999) Homotopy perturbation technique. Comp Meth Appl Mech Engg 178(4):257–262. https://doi.org/10.1016/S0045-7825(99)00018-3

    Article  MathSciNet  MATH  Google Scholar 

  • Himeno Y (1981) Prediction of ship roll damping-a state of the art. DTIC Document, Ann Arbor.  

  • Huang BG, Zou ZJ, Ding WW (2018) Online prediction of ship roll motion based on a coarse and fine tuning fixed grid wavelet network. Ocean Eng 160:425–437. https://doi.org/10.1016/j.oceaneng.2018.04.065

    Article  Google Scholar 

  • Ikeda Y, Ali B, Yoshida H (2004) A roll damping prediction method for a FPSO with steady drift motion. Proceeding of the 14th International Conference on Offshore and Polar Engineering Conference, Toulon, France 676–681.

  • Jang TS (2011) Non-parametric simultaneous identification of both the nonlinear damping and restoring characteristics of nonlinear systems whose dampings depend on velocity alone. Mech Syst Signal Process 25(4):1159–1173. https://doi.org/10.1016/j.ymssp.2010.11.002

    Article  Google Scholar 

  • Jang TS (2013) A method for simultaneous identification of the full nonlinear damping and the phase shift and amplitude of the external harmonic excitation in a forced nonlinear oscillator. Comput Struct 120:77–85. https://doi.org/10.1016/j.compstruc.2013.02.008

    Article  Google Scholar 

  • Jang TS, Choi HS, Han SL (2009) A new method for detecting non-linear damping and restoring forces in non-linear oscillation systems from transient data. Int J Non-Linear Mech 44(7):801–808. https://doi.org/10.1016/j.ijnonlinmec.2009.05.001

    Article  Google Scholar 

  • Kato H (1965) Effects of bilge keels on the rolling of ships. J. Soc. Nav. Archit. Jpn. 117:93–101

    Google Scholar 

  • Khuri SA, Abukhaled M (2017) A semi-analytical solution of amperometric enzymatic reactions based on Green’s functions and fixed point iterative schemes. J Electroanalytical Chem 792:66–71. https://doi.org/10.1016/j.jelechem.2017.03.015

    Article  Google Scholar 

  • Kianejad SS, Enshaei H, Du_y J, Ansarifard N (2019) Prediction of a ship roll added mass moment of inertia using numerical simulation. Ocean Eng 173:77–89. https://doi.org/10.1016/j.oceaneng.2018.12.049

    Article  Google Scholar 

  • Lavrov A, Rodrigues JM, Gadelho JFM, GuedesSoares C (2017) Calculation of hydrodynamic coe_cients of ship sections in roll motion using Navier-Stokes equations. Ocean Eng 133:36–46. https://doi.org/10.1016/j.oceaneng.2017.01.027

    Article  Google Scholar 

  • Liao S (1997) Homotopy analysis method: a new analytical technique for nonlinear problems. Commun Nonlinear Sci Numer Simul 2(2):95–100. https://doi.org/10.1016/S1007-5704(97)90047-2

    Article  Google Scholar 

  • Liao S (2004) On the homotopy analysis method for nonlinear problems. Appl Math Comput 47(2):499–513. https://doi.org/10.1016/S0096-3003(02)00790-7

    Article  MathSciNet  MATH  Google Scholar 

  • Liao SJ, Chwang AT (1998) Application of homotopy analysis method in nonlinar oscillations. J Appl Mech 65(4):914–922. https://doi.org/10.1115/1.2791935

    Article  MathSciNet  Google Scholar 

  • Lihua L, Peng Z, Songtao Z, Ming J, Jia Y (2018) Simulation analysis of fin stabilizer on ship roll control during turning motion. Ocean Eng 164:733–748. https://doi.org/10.1016/j.oceaneng.2018.07.015

    Article  Google Scholar 

  • Lu J (2007) Variational iteration method for solving a nonlinear system of second-order boundary value problems. Comp Math Appl 54:1133–1138. https://doi.org/10.1016/j.camwa.2006.12.060

    Article  MathSciNet  MATH  Google Scholar 

  • Oliveira AC, Fernandes AC (2012) An empirical nonlinear model to estimate FPSO with extended bilge keel roll linear equivalent damping in extreme seas. In: Proceeding of the 31st International Conference on Ocean, Offshore and Arctic Engineering, (OMAE). Paper OMAE2012-83360, Rio de Janeiro, Brazil.

  • Oliveira AC, Fernandes AC (2014) The nonlinear roll damping of a FPSO hull. J Off shore Mech Arct Eng 136:1–10. https://doi.org/10.1115/1.4025870

    Article  Google Scholar 

  • Rainville ED (1960) Special functions. The Macmillan Co., New York, 1960. MR 0107725.

  • Razzaghi M, Yousef S (2002) Legendre wavelets method for constrained optimal control problems. Math Met Appl Sci 25:529–539. https://doi.org/10.1002/mma.299

    Article  MathSciNet  MATH  Google Scholar 

  • Sadek I, Abualrub T, Abukhaled M (2007) A computational method for solving optimal control of a system of parallel beams using Legendre wavelets. Math Comp Modell 45:1253–1264. https://doi.org/10.1016/j.mcm.2006.10.008

    Article  MathSciNet  MATH  Google Scholar 

  • Salai Mathi Selvi M, Hariharan G (2016) Wavelet based analytical algorithm for solving steady-state concentration in immobilized isomerase of packed bed reactor model. J Memb Biol. 249(4):559–586

    Article  Google Scholar 

  • Salai Mathi Selvi M, Hariharan G (2017) An improved method based on Legendre computational matrix method for time dependent Michaelis-Menten enzymatic reaction model arising in mathematical chemistry. Proc Jangjeon Mathe Soc. 20(3):483–503. https://doi.org/10.17777/pjms2017.20.3.483

    Article  MathSciNet  MATH  Google Scholar 

  • Salai Mathi Selvi M, Hariharan G, Kannan K (2017) A reliable spectral, method to reaction-diffusion equations in entrapped-cell photobioreaction packed with gel grnules using chebyshev wavelets. J Memb Biol 250:663–670

    Article  Google Scholar 

  • Tanaka N (1961) A study on the bilge keels. J Soc Nav Archit Jpn 109:205–212

    Google Scholar 

  • Tavassoli Kajani M, Hadi Vencheh A (2004) Solving linear integro-differential equation with Legendre wavelets Int. J Comput Math 81(6):719–726. https://doi.org/10.1080/00207160310001650044

    Article  MathSciNet  MATH  Google Scholar 

  • Yeung RW, Cermelli C, Liao SW (1997) Vorticity fields due to rolling bodies in a free surface - experiment and theory. Proceeding of the 21st symposium on naval hydrodynamics Trondheim Norway.

  • Zheng X, Wei Z (2016) Estimates of approximation error by Legendre wavelet. Appl Math 7:694–700. https://doi.org/10.4236/am.2016.77063

    Article  Google Scholar 

  • Salomi RJ, Sylvia SV, Rajendran L, Abukhaled M, (2020) Electric potential and surface oxygen ion density for planar, spherical and cylindrical metal oxide grains. Sensors and Actuators B: Chemical 321: 128576.  https://doi.org/10.1016/j.snb.2020.128576 

Download references

Acknowledgements

The authors are thankful to Shri J. Ramachandran, Chancellor, Col. Dr. G. Thiruvasagam, Vice-Chancellor, Academy of Maritime Education and Training (AMET), Deemed to be University, Chennai, for their support .

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marwan Abukhaled.

Additional information

Article Highlights

• A mathematical model for rolling motion of ships in random beam seas is discussed.

• The second-order nonlinear differential equation is solved using a modified approach of the homotopy perturbation method.

• Analytical expression of the roll angle, velocity, acceleration, and damping and restoring moments is derived.

• Ultraspherical wavelet–based method was also employed to derive a numerical approximation of roll angle and restoring and damping moments.

Appendices

Appendix 1: Ultraspherical polynomials

The ultraspherical polynomials are special types of Jacobi polynomials that are associated with the real parameter \( \left(\alpha >\frac{-1}{2}\right) \). They are orthogonal polynomials on the interval (− 1, 1), with respect to the weight function \( w(x)={\left(1-{x}^2\right)}^{\alpha -\frac{1}{2}}, \) and defined by

$$ {\int}_{-1}^1{\left(1-{x}^2\right)}^{\alpha -\frac{1}{2}}{C}_m^{\left(\alpha \right)}(x){C}_n^{\left(\alpha \right)}(x) dx=\left\{\begin{array}{cc}0,& m\ne n\\ {}{h}_n& m=n\end{array}\right. $$
(67)

where

$$ {h}_n=\frac{\pi {2}^{1-2\alpha}\varGamma \left(n+2\alpha \right)}{n!\left(n+\alpha \right)\varGamma {\left(\alpha \right)}^2}, $$
(68)

are the eigenfunctions of the following singular Sturm-Liouville equation

$$ \left(1-{x}^2\right){\ddot{\phi}}_m(x)-\left(2\alpha +1\right)x{\ddot{\phi}}_m(x)+m\left(m+2\alpha \right){\phi}_m(x)=0. $$
(69)

The following integral formula and the theorem that follows are needed to establish the convergence of the expansion of the ultraspherical wavelets

$$ \int {C}_n^{\left(\alpha \right)}(x)w(x) dx=-\frac{2\alpha {\left(1-{x}^2\right)}^{\alpha +\frac{1}{2}}}{n\left(n+2\alpha \right)}{C}_{n-1}^{\left(\alpha +1\right)}(x),n\ge 1. $$
(70)

Theorem 3 The following inequality holds for ultraspherical polynomials

$$ {\left(\sin \theta \right)}^{\alpha}\left|{C}_n^{\left(\alpha \right)}\left(\cos \theta \right)\right|<\frac{2^{1-\alpha}\varGamma \left(n+\frac{3\alpha }{2}\right)}{\varGamma \left(\alpha \right)\varGamma \left(n+1+\frac{\alpha }{2}\right)},0\le \theta \le \pi, 0<\alpha <1.\kern1em $$
(71)

Appendix 2: Shifted ultraspherical polynomials

The shifted ultraspherical polynomials are defined on [0, 1] by

$$ {\overset{\sim }{C}}_n^{\left(\alpha \right)}(x)={C}_n^{\left(\alpha \right)}\left(2x-1\right). $$
(72)

All properties of ultraspherical polynomials remain valid for the shifted polynomials.

The orthogonality relation for \( {\overset{\sim }{C}}_n^{\left(\alpha \right)}(x) \) with respect to the weight function \( \overset{\sim }{\omega }(x)={\left(x-{x}^2\right)}^{\alpha -\frac{1}{2}} \) is given by

$$ \int {\left(x-{x}^2\right)}^{\alpha -\frac{1}{2}}{\overset{\sim }{C}}_m^{\left(\alpha \right)}(x){\overset{\sim }{C}}_n^{\left(\alpha \right)}(x) dx=\left\{\begin{array}{cc}0,& m\ne n\\ {}\frac{\pi {2}^{1-4\alpha}\Gamma \left(n+2\alpha \right)}{n!\left(n+\alpha \right){\left(\Gamma \left(\alpha \right)\right)}^2},& m=n.\end{array}\right. $$
(73)

For more properties of ultraspherical polynomials, see Rainville (1960).

Appendix 3: Basic idea of HPM

Consider the nonlinear differential equation

$$ A(u)-f(r)=0,r\in \varOmega, $$
(74)

with the boundary condition

$$ B\left(u,\frac{du}{dr}\right)=0,r\in \Gamma, $$
(75)

where A, B, f(r), and Γ are a general differential operator, a boundary operator, a known analytical function, and the boundary of the domain Ω, respectively. Expressing A(u) as the sum of linear (L) and nonlinear (N) parts, Eq. (74) becomes

$$ L(u)+N(u)-f(r)=0.\kern1.5em $$
(76)

The homotopy technique begins by defining

v(r, p) : Ω × [0, 1] → R, such that

$$ H\left(v,p\right)=\left(1-p\right)\left[L(v)-L\left({u}_0\right)\right]+p\left[A(u)-f(r)\right]=0, $$
(77)

where p ∈ [0, 1] is an embedding parameter and u0 is an initial approximation of Eq. (74) that satisfies boundary conditions (Eq. 75). Evidently, Eq. (77) implies that

$$ H\left(v,0\right)=L(v)-L\left({u}_0\right)=0,\kern0.5em $$
(78)
$$ H\left(v,1\right)=A(v)-f(r)=0. $$
(79)

As p changes from 0 to 1, v(r, p) changes from u0 to ur, a process known as a homotopy. The solution of Eq. (77) may be expressed in terms of a power series in the form:

$$ v={v}_0+p{v}_1+{p}^2{v}_2+\cdots . $$
(80)

An approximate solution to Eq. (77) is given by the following:

$$ u=\underset{p\to 1}{\lim }v={v}_0+{v}_1+{v}_2+\cdots . $$
(81)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Selvi, M.S.M., Rajendran, L. & Abukhaled, M. Estimation of Rolling Motion of Ship in Random Beam Seas by Efficient Analytical and Numerical Approaches. J. Marine. Sci. Appl. 20, 55–66 (2021). https://doi.org/10.1007/s11804-020-00183-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11804-020-00183-x

Keywords

Navigation