Adaptive Characteristic Length for L-SIAC Filtering of FEM Data
| Autor: | Robert Haimes, Ashok Jallepalli, Robert M. Kirby |
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| Rok vydání: | 2018 |
| Předmět: |
Numerical Analysis
Characteristic length Applied Mathematics General Engineering Filter (signal processing) Classification of discontinuities 01 natural sciences Finite element method Mathematics::Numerical Analysis Theoretical Computer Science 010101 applied mathematics Computational Mathematics Computational Theory and Mathematics Point (geometry) Polygon mesh Enhanced Data Rates for GSM Evolution 0101 mathematics Focus (optics) Algorithm Software Mathematics |
| Zdroj: | Journal of Scientific Computing. 79:542-563 |
| ISSN: | 1573-7691 0885-7474 |
| DOI: | 10.1007/s10915-018-0868-6 |
| Popis: | Treating discontinuities at element boundaries is a significant problem in understanding high-order FEM simulation data since the physics used to model the simulation is often continuous. Recently, the family of SIAC filters, especially the L-SIAC filter, has been gaining popularity for its use in postprocessing. The computational math community, with its focus on improving the theoretical aspects of the SIAC filter, has applied the filter only on simple, fairly uniform unstructured meshes, where the largest element in the mesh is less than or equal to twice the smallest element. In many engineering applications, the unstructured meshes have varying orders of mesh resolution, but there is no literature for adapting the characteristic length of the SIAC filter to address these real-world simulation data. The central contribution of this paper is an algorithm used to calculate the characteristic length dynamically at any point in the mesh. We demonstrate that our approach has a lower error and is computationally faster than using maximum edge length over the mesh. |
| Databáze: | OpenAIRE |
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