Anisotropic mesh adaptation driven by a recovery-based error estimator for shallow water flow modeling

2011 ◽  
Vol 70 (3) ◽  
pp. 269-299 ◽  
Author(s):  
G. M. Porta ◽  
S. Perotto ◽  
F. Ballio
Author(s):  
Muhammad Umer Altaf ◽  
Arnold W. Heemink ◽  
Martin Verlaan

SeMA Journal ◽  
2010 ◽  
Vol 50 (1) ◽  
pp. 115-137 ◽  
Author(s):  
S. Micheletti ◽  
S. Perotto ◽  
P. E. Farrell

2015 ◽  
Vol 7 (8) ◽  
pp. 168781401559818 ◽  
Author(s):  
Sheng Bi ◽  
Lixiang Song ◽  
Jianzhong Zhou ◽  
Linghang Xing ◽  
Guobing Huang ◽  
...  

Author(s):  
Hugues Digonnet ◽  
Thierry Coupez ◽  
Patrice Laure ◽  
Luisa Silva

Mesh adaptation has proven to be very efficient for simulating transient multiphase computational fluid dynamics applications. In this work, we present a new parallel anisotropic mesh adaptation technique relying on an edge based error estimator. It provides a high level of accuracy while substantially reducing the computational effort. This technique enables a good capture of physical phenomena, boundary layers, interfaces, free surfaces and even multiphase turbulent flows, and has a great potential to simulate a large variety of applications. Current investigations explore the performance of the new algorithm on massively parallel resources. In this paper, we show that the developed adaptive meshing works very well in a parallel environment involving topological mesh modifications and dynamic repartitioning of parallel slots. It is also shown that the proposed methodology provides an additional gain in terms of computational cost due the production of a non-uniform mesh size distribution. Runs performed on national and European supercomputers will show the scalability and pertinence of our developments.


2021 ◽  
Author(s):  
Youssef Belhamadia ◽  
Thomas Briffard ◽  
André Fortin

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