| Autor: |
Abbà, Antonella, Bonaventura, Luca, Recanati, Alessandro, Tugnoli, Matteo |
| Rok vydání: |
2019 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| DOI: |
10.1016/j.jcp.2020.109720 |
| Popis: |
We investigate the possibility of reducing the computational burden of LES models by employing locally and dynamically adaptive polynomial degrees in the framework of a high order DG method. A degree adaptation technique especially featured to be effective for LES applications, that was previously developed by the authors and tested in the statically adaptive case, is applied here in a dynamically adaptive fashion. Two significant benchmarks are considered, comparing the results of adaptive and non adaptive simulations. The proposed dynamically adaptive approach allows for a significant reduction of the computational cost of representative LES computation, while allowing to maintain the level of accuracy guaranteed by LES carried out with constant, maximum polynomial degree values. |
| Databáze: |
arXiv |
| Externí odkaz: |
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