2018
DOI: 10.1016/j.jcp.2018.03.017
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Multilayer shallow water models with locally variable number of layers and semi-implicit time discretization

Abstract: We propose an extension of the discretization approaches for multilayer shallow water models, aimed at making them more flexible and efficient for realistic applications to coastal flows. A novel discretization approach is proposed, in which the number of vertical layers and their distribution are allowed to change in different regions of the computational domain. Furthermore, semi-implicit schemes are employed for the time discretization, leading to a significant efficiency improvement for subcritical regimes… Show more

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Cited by 33 publications
(48 citation statements)
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“…∞ (t), according to the approximations (10), (17), respectively. Among the many possible formulations for the parabolic terms, for definiteness we choose that corresponding to the Symmetric Interior Penalty Galerkin method (SIPG), see, e.g., [3,31] and the review in [22].…”
Section: The Affine Local Mapsmentioning
confidence: 99%
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“…∞ (t), according to the approximations (10), (17), respectively. Among the many possible formulations for the parabolic terms, for definiteness we choose that corresponding to the Symmetric Interior Penalty Galerkin method (SIPG), see, e.g., [3,31] and the review in [22].…”
Section: The Affine Local Mapsmentioning
confidence: 99%
“…Approximating c h using (10) and (17), and taking v = φ m j and v = φ ∞ k , one obtains a set of equations for the discrete degrees of freedom c…”
Section: The Affine Local Mapsmentioning
confidence: 99%
See 1 more Smart Citation
“…This is done through the incorporation of the mass and momentum transfer terms that could be written as non-conservative terms appearing in the equations. Some recent works on multilayer shallow water systems even consider a variable number of layers, where the number of layers locally adapts depending on the presence of relevant vertical effects (see [9]).…”
Section: Journal Of Scientific Computingmentioning
confidence: 99%
“…A drawback of this approach is that many layers should be employed if very complex profiles of velocity have to be recovered, leading to a high computational cost (although much lower than solving the full 3D Navier-Stokes system). In [3], an application to bedload transport problem is simulated by using a multilayer model and the Grass formula, which allows the authors to use the velocity near the bottom and not the depth-averaged velocity as in the Shallow Water model. It should be noted that the resulting multilayer model seems to be hyperbolic based on numerical simulations, although this question remains open for arbitrary numbers of layers.…”
Section: Introductionmentioning
confidence: 99%