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Adaptive Mesh Refinement Method Applied to Shallow Water Model: A Mass Conservative Projection
- Source :
- Topical Problems of Fluid Mechanics 2017, Topical Problems of Fluid Mechanics 2017, Feb 2017, Prague, Czech Republic. ⟨10.14311/TPFM.2017.032⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- International audience; In the tsunami waves context, efficient numerical methods are necessary to simulate multiscales events. One way to reduce the computational cost is to use an adaptive mesh refinement method on unstructured meshes. This approach is used in this paper with a finite volume scheme solving the multi-dimensional Saint-Venant system. The adaptive mesh refinement method follows a block-based decomposition (called BB-AMR), which allows quick meshing and easy parallelization. One step of the AMR method is the so-called projection step where the new mesh values have to be defined from the old ones. For vertically integrated model the bathymetry variation during the projection step plays a crucial role on the mass conservation. To avoid large deficit or excess of mass a special attention is given to the projection step. Finally a 3D test case simulation is compared to experimental results to illustrated the quasi conservation of the mass with an appropriated projection method.
- Subjects :
- 020203 distributed computing
Mathematical optimization
010504 meteorology & atmospheric sciences
Adaptive mesh refinement
Shallow water
Saint-Venant model
02 engineering and technology
Tsunami propagation
[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]
01 natural sciences
Waves and shallow water
0202 electrical engineering, electronic engineering, information engineering
Projection
Projection (set theory)
Finite volume
Algorithm
Geology
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Topical Problems of Fluid Mechanics 2017, Topical Problems of Fluid Mechanics 2017, Feb 2017, Prague, Czech Republic. ⟨10.14311/TPFM.2017.032⟩
- Accession number :
- edsair.doi.dedup.....0fd0d6e82f82e9abb8caef20beda139f
- Full Text :
- https://doi.org/10.14311/TPFM.2017.032⟩