Abstract
The requirement for stabilization or other similar techniques is well known when using the finite element method in computational fluid mechanics. A variety of such techniques has been introduced during the past decades along with different physical interpretations of the stabilization terms employed. In introducing so-called information flux methods, we developed a new point of view on the problem of numerical instabilities; with respect to Shannon's information theory instabilities are interpreted as a consequence of unadequate observance of the information flux present in fluid mechanics. Here we discuss different approaches to setting up information flux maximum-entropy approximation schemes based on that idea. The good accuracy of these approximation schemes is demonstrated for convection-diffusion problems by means of several linear, time-independent one- and two-dimensional numerical examples and comparisons with state-of-the-art stabilized finite element methods.
| Original language | English |
|---|---|
| Pages (from-to) | 1180-1200 |
| Number of pages | 21 |
| Journal | International Journal for Numerical Methods in Fluids |
| Volume | 64 |
| Issue number | 10-12 |
| DOIs | |
| State | Published - 2010 |
Keywords
- Computational fluid mechanics
- Information theory
- Maximum entropy
- Meshfree methods
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