Issue |
ESAIM: M2AN
Volume 53, Number 1, January–February 2019
|
|
---|---|---|
Page(s) | 269 - 299 | |
DOI | https://doi.org/10.1051/m2an/2018076 | |
Published online | 15 April 2019 |
Towards a new friction model for shallow water equations through an interactive viscous layer
1
Institut Denis Poisson, Université d’Orléans, Université de Tours, CNRS UMR 7013, Route de Chartres, BP 6759, 45067 Orléans, France
2
Institut Jean Le Rond d’Alembert, Sorbonne Université, CNRS, UMR 7190, 75005 Paris, France
3
Laboratoire d’Hydraulique Saint-Venant – ENPC, CEREMA, EDF R&D, 78401 Chatou, France
* Corresponding author: james@math.cnrs.fr
Received:
9
May
2018
Accepted:
16
December
2018
The derivation of shallow water models from Navier–Stokes equations is revisited yielding a class of two-layer shallow water models. An improved velocity profile is proposed, based on the superposition of an inviscid fluid and a viscous layer inspired by the Interactive Boundary Layer interaction used in aeronautics. This leads to a new friction law which depends not only on velocity and depth but also on the variations of velocity and thickness of the viscous layer. The resulting system is an extended shallow water model consisting of three depth-integrated equations: the first two are mass and momentum conservation in which a slight correction on hydrostatic pressure has been made; the third one, known as von Kármán equation, describes the evolution of the viscous layer. This coupled model is shown to be conditionally hyperbolic, and a Godunov-type finite volume scheme is also proposed. Several numerical examples are provided and compared to the Multi-Layer Saint-Venant model. They emphasize the ability of the model to deal with unsteady viscous effects. They illustrate also the phase-lag between friction and topography, and even recover possible reverse flows.
Mathematics Subject Classification: 35L60 / 35L65 / 35Q35 / 65M08 / 76N17
Key words: Shallow water / viscous layer / friction law / Prandtl equation / von Kármán equation
© The authors. Published by EDP Sciences, SMAI 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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