1997
DOI: 10.1515/rnam.1997.12.2.95
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Numerical modelling of fluid flows in the framework of a two-dimensional shallow-water model with the use of adaptive grids

Abstract: We consider the mathematical statement and finite difference methods of solving the twodimensional initial boundary value problems in the first approximation in the shallow-water theory, using nonstationary adaptive grids. We give the examples of modelling numerically the wave processes in a basin with curvilinear boundary.

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Cited by 4 publications
(5 citation statements)
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“…This mapping is based on the one-to-one nondegenerate transformation of the coordinates. The equations considered, the initial and boundary conditions are written in the new coordinates [1][2][3]5].…”
Section: Computational Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…This mapping is based on the one-to-one nondegenerate transformation of the coordinates. The equations considered, the initial and boundary conditions are written in the new coordinates [1][2][3]5].…”
Section: Computational Algorithmmentioning
confidence: 99%
“…The shallow-water equations are solved by an explicit finite difference predictor-corrector scheme with self-adjusting approximate viscosity [1,2].…”
Section: Computational Algorithmmentioning
confidence: 99%
“…The predictor-corrector scheme is described in detail in our work [3]. Therefore we describe here only the scheme that is used to numerically solve the elliptic equation …”
Section: Finite Difference Algorithmmentioning
confidence: 99%
“…=^1A 2 /4 for the nodes of types 5-8 (comer ones). Then we can write the finite difference equations for the node q. as(3…”
mentioning
confidence: 99%
“…The finite element methods of numerical realization of these models have been extensively developed in the past few years [1]. At the same time the use of conventional finite difference approximations (schemes) especially on curvilinear grids allows one to obtain adequate results at much smaller computational costs [2,6,9]. There are a lot of mathematical models of the above type and a great number of variants of constructing the corresponding computational algorithms.…”
mentioning
confidence: 99%