Nora Aïssiouene

E-mail: nora.aissiouene@inria.fr

Inria-Paris:

2 rue Simone Iff – CS 42112 – 75589 Paris Cedex 12 – FRANCE

PhD thesis: Numerical analysis and discrete approximation of a dispersive Shallow Water model.

Download the thesis here.

Directed by  Edwige Godlewski and Jacques Sainte-Marie. 

In this PhD thesis we are interested in the numerical approximation of a dispersive shallow water system, aimed at modeling the free surface flows (e.g. ocean and rivers) and motivated by applications for natural hazards and sustainable energy resources. This model is a depth-averaged Euler system and takes into account a non-hydrostatic pressure which brings crucial information for understanding the behavior of the flow, particularly when dispersion occur.
We develop a numerical method for the one- and the two-dimensional dispersive shallow water system with a topography. The approach is based on a prediction-correction method initially introduced by Chorin-Temam, and we establish a global framework in order to easily increase the order of accuracy of the method.
The prediction part leads to solving a shallow water system for which we use finite volume methods, while the correction part leads to solving a mixed problem in velocity and pressure. We propose a variational formulation of the mixed problem which allows us to apply a finite element method with compatible spaces. In this framework we establish compatible boundary conditions between the prediction part and the correction part. The method is performed for the one-dimensional model and for the two-dimensional problem on unstructured grids. In order to make the method practical for real geophysical cases, we have derived a scheme able to treat wet/dry interfaces and to this end we give many examples to test its performance. Moreover, we provide a comparison of simulated solutions with data from laboratory experiments.

Solitary wave