Generation of Provably Correct Curvilinear Meshes

21 mins 3 secs,  222.96 MB,  WebM  640x360,  29.97 fps,  44100 Hz,  1.41 Mbits/sec
Share this media item:
Embed this media item:


About this item
Image inherited from collection
Description: Jonathan Lambrechts, (Université Catholique de Louvain )
Tuesday 25 September 2012, 12:00-12:25
 
Created: 2012-09-26 17:02
Collection: Multiscale Numerics for the Atmosphere and Ocean
Publisher: Isaac Newton Institute
Copyright: Jonathan Lambrechts
Language: eng (English)
 
Abstract: The development of high-order numerical technologies for CFD is underway for many years now. For example, Discontinuous Galerkin methods (DGM) have been largely studied in the literature, initially in a quite theoretical context, and now in the application point of view. In many contributions, it is shown that the accuracy of the method strongly depends of the accuracy of the geometrical discretization. In other words, the following question is raised:we have the high order methods, but how do we get the meshes?

This talk focus on the generation of highly curved ocean meshes of polynomial order 2 to 4.

In the first part, we propose a robust procedure that allows to build a curvilinear mesh for which every element is guaranteed to be valid. The technique builds on standard optimization method (BICG) combined with a log-barrier objective function to guarantee the positivity of the elements Jacobian and thus the validity of the elements.

To be valid is not the only requirement for a good-quality mesh. If the temporal discretization is explicit, even a valid element can lead to a very stringent constraint on the stable time step. The second part of the talk is devoted to the optimization of the curvilinear ocean meshes to obtain large stable time steps.
Available Formats
Format Quality Bitrate Size
MPEG-4 Video 640x360    1.84 Mbits/sec 291.75 MB View Download
WebM * 640x360    1.41 Mbits/sec 222.96 MB View Download
Flash Video 484x272    568.69 kbits/sec 87.61 MB View Download
iPod Video 480x270    505.92 kbits/sec 78.00 MB View Download
MP3 44100 Hz 125.05 kbits/sec 19.14 MB Listen Download
Auto (Allows browser to choose a format it supports)