Article information
2023 , Volume 28, ą 3, p.41-59
Fedotova Z.I., Khakimzyanov G.S.
Nonlinear-dispersive models of wave hydrodynamics: hierarchy of models, high accuracy, numerical algorithms
The article presents the results of a study of nonlinear dispersion (NLD) models and numerical methods for their implementation from the standpoint of a hierarchical approach, which allows formulating chains of “shallow water” models, the derivation of which starts from the fully nonlinear equations with dispersion and moves towards simplified models with inheritance of the most important properties. This study addresses the Serre – Green – Naghdi (SGN) model of the second long-wavelength approximation O(µ2), the modification of which allows obtaining a new mSGN model with improved phase characteristics due to the increased fourth order accuracy that approximates the dispersion relation of the “reference” model of potential fluid flows with a free boundary. A similar modification for the model of the fourth long-wavelength approximation O(µ4) leads to the increase in the accuracy of the dispersion relation up to the eighth order. Note that the order of approximations is understood to be the exponent of the long-wavelength parameter O(µn), where µ = d/λ, d and λ are the average values of the depth of the water area and the wavelength, respectively. The paper shows that the modified models describe the characteristics of the “reference” model in the case of a horizontal bottom more accurately than the SGN model, as along with the change in phase velocity, amplitude, length and steepness of surface waves as they move from the deep part of the water area to the shallow water in the case of uneven bottom. Previous approaches to construct and study numerical algorithms for solving SGN equations can also be used for models of increased accuracy. In this paper, we demonstrated that a predictorcorrector difference scheme approximating a one-dimensional mSGN model realizes this possibility. It is shown that the stability condition for this scheme allows using Courant numbers greater than one, while for a similar difference scheme in the case of dispersionless shallow water equations, the Courant number is less than one. The stability condition for the mSGN scheme is more restrictive than the condition for the scheme approximating the SGN equations, but the mSGN scheme is preferable in terms of the suppression of shortwavelength harmonics. It is also shown that there are values of the mSGN scheme parameters for which the dispersion of the difference scheme does not suppress the dispersion of the mSGNb model
Keywords: long surface waves, uneven bottom, nonlinear dispersion equations, hierarchy of models, dispersion relation, phase velocity, Green law, analysis of dissipation and dispersion of difference schemes
doi: 10.25743/ICT.2023.28.3.004
Author(s): Fedotova Zinaida Ivanovna PhD. Position: Senior Research Scientist Office: Federal Research Center for Information and Computational Technologies Address: 630090, Russia, Novosibirsk, Lavrentiev ave. 6
Phone Office: (383) 334-91-21 E-mail: zf@ict.nsc.ru Khakimzyanov Gayaz Salimovich Dr. , Professor Position: Leading research officer Office: Federal Research Center for Information and Computational Technologies Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave. 6
Phone Office: (383) 330 86 56 E-mail: khak@ict.nsc.ru SPIN-code: 3144-0877 References: 1. Stoker J.J. Water waves. The mathematical theory with applications. N.Y.: Interscience Publishers;1957: 568.
2. Ovsyannikov L.V., Makarenko N.I., Nalimov V.I., Lyapidevsky V.Yu. Nelineynye problemy teorii poverkhnostnykh i vnutrennikh voln [Nonlinear problems in the theory of surface and internal waves]. Novosibirsk: Nauka, Sibirskoe otdelenie; 1985: 318. (In Russ.)
3. Lyapidevsky V.Yu., Teshukov V.M. Matematicheskie modeli rasprostraneniya dlinnykh voln v neodnorodnoy zhidkosti [Mathematical models of long wave propagation in an inhomogeneous liquid]. Novosibirsk: Izd-vo Sibirskogo otdeleniya Rossiyskoy akademii nauk; 2000: 420. (In Russ.)
4. Marchuk A.G., Chubarov L.B., Shokin Yu.I. Chislennoe modelirovanie voln tsunami [Numerical simulation of tsunami waves]. Novosibirsk: Nauka, Sibirskoe otdelenie; 1983: 175. (In Russ.)
5. Shokin Yu.I., Chubarov L.B., Marchuk A.G., Simonov K.V. Vychislitel’nyy eksperiment v probleme tsunami [Computational experiment in the tsunami problem]. Novosibirsk: Nauka,Sibirskoe otdelenie; 1989: 168. (In Russ.)
6. Khakimzyanov G.S., Shokin Yu.I., Barakhnin V.B., Shokina N.Yu. Chislennoe modelirovanie techeniy s poverkhnostnymi volnami [Numerical simulation of fluid flows with surface waves].Novosibirsk: Publishing house of SO RAN; 2001: 394. (In Russ.)
7. Le`Metayer O., Gavrilyuk S., Hank S. A derivation of equations for wave propagation in water of variable depth. Journal of Computational Physics. 2010; 229(6):2034–2045.
8. Tkachenko S., Gavrilyuk S., Massoni J. Extended Lagrangian approach for the numerical study of multidimensional dispersive waves: Applications to the Serre – Green – Naghdi equations. Journal of Computational Physics. 2023; (477):111901.
9. Shokin Yu.I., Fedotova Z.I., Khakimzyanov G.S. Hierarchy of nonlinear models of the hydrodynamics of long surface waves. Doklady Physics. 2015; 60(5):224–228.
10. Fedotova Z.I., Khakimzyanov G.S., Gusev O.I., Shokina N.Yu. Nelineynodispersionnye modeli volnovoy gidrodinamiki: uravneniya i chislennye algoritmy [Nonlinear dispersive models of wave hydrodynamics: equations and numerical algorithms]. Novosibirsk: Nauka; 2017: 456. (In Russ.)
11. Khakimzyanov G., Dutykh D., Fedotova Z., Gusev O. Dispersive shallow water waves. Theory,modeling, and numerical methods. Lecture Notes in Geosystems Mathematics and Computing. Basel:Birkh¨auser; 2020: 284.
12. Khakimzyanov G.S., Fedotova Z.I., Dutykh D. Two-dimensional model of wave hydrodynamics with high accuracy dispersion relation. Computational Technologies. 2020; 25(5):17–41.DOI:10.25743/ICT.2020.25.5.003. (In Russ.)
13. Khakimzyanov G.S., Fedotova Z.I., Dutykh D. Two-dimensional model of wave hydrodynamics with high accuracy dispersion relation. II. Fourth, sixth and eighth orders. Computational Technologies.2021; 26(3):4–25. DOI:10.25743/ICT.2021.26.3.002. (In Russ.)
14. Khakimzyanov G.S., Fedotova Z.I., Dutykh D. Two-dimensional models of wave hydrodynamics with high accuracy dispersion relation. III. Linear analysis for an uneven bottom. Computational Technologies. 2022; 27(2):37–53. DOI:10.25743/ICT.2022.27.2.004. (In Russ.)
15. Fedotova Z.I., Khakimzyanov G.S. Phase and amplitude characteristics of higher-accuracy nonlinear dispersive models. Journal of Applied Mechanics and Technical Physics. 2023; 64(2):216–229.
16. Voltsinger N.E., Pyaskovsky R.V. Teoriya melkoy vody. Okeanologicheskie zadachi i chislennye metody [Theory of shallow water.Oceanological problems and numerical methods]. Leningrad:Gidrometeoizdat; 1977: 310. (In Russ.)
17. Fedotova Z.I., Khakimzyanov G.S., Gusev O.I. History of the development and analysis of numerical methods for solving nonlinear dispersive equations of hydrodynamics. I. Onedimensional models problems. Computational Technologies. 2015; 20(5):120–156. (In Russ.)
18. Fedotova Z.I., Khakimzyanov G.S. Characteristics of finite difference methods for dispersive shallow water equations. Russian Journal of Numerical Analysis and Mathematical Modelling. 2016;31(3):149–158.
19. Fedotova Z.I., Khakimzyanov G.S., Gusev O.I., Shokina N.Yu. History of the development and analysis of numerical methods for solving nonlinear dispersive equations of hydrodynamics.II. Two-dimensional models. Computational Technologies. 2017; 22(5):73–109. (In Russ.)
20. Khakimzyanov G.S., Fedotova Z.I., Gusev O.I., Shokina N.Yu. Finite difference methods for 2D shallow water equations with dispersion. Russian Journal of Numerical Analysis and Mathematical Modelling. 2019; 34(2):105–117.
21. Serre F. Contribution `a l’´etude des ´ecoulements permanents et variables dans les canaux. La Houille Blanche. 1953; (3):374–388.
22. Green A.E., Naghdi P.M. A derivation of equations for wave propagation in water of variable depth. Journal of Fluid Mechanics. 1976; (78):237–246.
23. Gusev O.I., Shokina N.Yu., Kutergin V.A., Khakimzyanov G.S. Numerical modelling of surface waves generated by underwater landslide in a reservoir. Computational Technologies. 2013;18(5):74–90. (In Russ.)
24. Bautin S.P., Deryabin C.L. Existence and uniqueness theorems for nonlinear-dispersive Green –Nagdi equations. Computational Technologies. 2013; 18(5):3–15. (In Russ.)
25. Fedotova Z.I., Khakimzyanov G.S. Nonlinear-dispersive shallow water equations on a rotating sphere and conservation laws. Journal of Applied Mechanics and Technical Physics. 2014;55(3):404–416.
26. Kaptsov E.I., Meleshko S.V., Samatova N.F. The one-dimensional Green – Naghdi equations with a time dependent bottom topography and their conservation laws. Physics of Fluids. 2020;32(123):123607.
27. Peregrine D.H. Long waves on a beach. Journal of Fluid Mechanics. 1967; (27):815–827.
28. Rozhdestvenskiy B.L., Yanenko N.N. Sistemy kvazilineynykh uravneniy i ikh prilozheniya k gazovoy dinamike [Systems of quasilinear equations and their application to gas dynamics]. Moscow:Nauka; 1968: 592. (In Russ.)
29. Shokin Yu.I., Yanenko N.N. Method of differential approximation. Application to gas dynamics.Novosibirsk: Nauka, Sibirskoe otdelenie; 1985: 364. (In Russ.)
30. Shokin Yu.I., Sergeeva Yu.V., Khakimzyanov G.S. Predictor-corrector scheme for the solution of shallow water equations. Russian Journal of Numerical Analysis and Mathematical Modelling. 2006;21(5):459–479.
31. Shokin Yu., Winnicki I., Jasinski J., Pietrek S. High order modified differential equation of the Beam-Warming method, I. The dispersive features. Russian Journal of Numerical Analysis and Mathematical Modelling. 2020; 35(2):83–94.
32. Shokin Yu., Winnicki I., Jasinski J., Pietrek S. High order modified differential equation of the Beam-Warming method, II. The dissipative features. Russian Journal of Numerical Analysis and Mathematical Modelling. 2020; 35(3):175–185. Bibliography link: Fedotova Z.I., Khakimzyanov G.S. Nonlinear-dispersive models of wave hydrodynamics: hierarchy of models, high accuracy, numerical algorithms // Computational technologies. 2023. V. 28. ą 3. P. 41-59
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