We present a first dynamically adaptive test of a physically based p-refinement criterion for DG-LES approaches recently proposed by the authors and applied so far to static adaptation only. The results, albeit preliminary, are encouraging and show that, also in the dynamically adaptive case, the proposed criterion allows to reduce significantly the number of degrees of freedom employed in a LES simulation without a major loss of accuracy.

Dynamical Degree Adaptivity for DG-LES Models

Tugnoli M.;Abba' A.;Bonaventura L.
2020-01-01

Abstract

We present a first dynamically adaptive test of a physically based p-refinement criterion for DG-LES approaches recently proposed by the authors and applied so far to static adaptation only. The results, albeit preliminary, are encouraging and show that, also in the dynamically adaptive case, the proposed criterion allows to reduce significantly the number of degrees of freedom employed in a LES simulation without a major loss of accuracy.
2020
Spectral and High Order Methods for Partial Differential Equations - ICOSAHOM 2018
978-3-030-39646-6
File in questo prodotto:
File Dimensione Formato  
TUGNM01-20.pdf

accesso aperto

Descrizione: Paper
: Publisher’s version
Dimensione 834.97 kB
Formato Adobe PDF
834.97 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1145534
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact