Pollack Periodica
Volume/Issue:
Volume 11: Issue 3
Approximation methods for post-processing of large data from the finite element analysis
Authors: Štěpán Beneš 1 and Jaroslav Kruis 1
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  • 1 Czech Technical University in Prague, Thákurova 7, Prague, 166 29, Czech Republic
DOI:
https://doi.org/10.1556/606.2016.11.3.15
Page Count:
165–176
Publication Date:
01 Dec 2016
Online Publication Date:
Dec 2016
Article Category:
Research Article
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The paper describes efficient methods to post-process results from the finite element analysis. Amount of data produced by the complex analysis is enormous. However, computer performance and memory are limited and commonly-used software tools do not provide ways to post-process data easily. Therefore, some sort of simplification of data has to be used to lower memory consumption and accelerate data loading. This article describes a procedure that replaces discrete values with a set of continuous functions. Each approximation function can be represented by a small number of parameters that are able to describe the character of resulting data closely enough.

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Cover Pollack Periodica
Pollack Periodica
Print ISSN:
1788-1994
Online ISSN:
1788-3911
Keywords:
Finite element method; Finite element mesh; Data visualization; Approximation; Post-processor

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