We propose a natural stretching function for DNS of wall-bounded flows, which blends uniform near-wall spacing with uniform resolution in terms of Kolmogorov units in the outer wall layer. Numerical simulations of pipe flow are used to educe optimal value of the blending parameter and of the wall grid spacing which guarantee accuracy and computational efficiency as a result of maximization of the allowed time step. Conclusions are supported by DNS carried out at sufficiently high Reynolds number that a near logarithmic layer in the mean velocity profile is present. Given a target Reynolds number, we provide a definite prescription for the number of grid points and grid clustering needed to achieve accurate results with optimal exploitation of resources.

Natural grid stretching for DNS of wall-bounded flows / Pirozzoli, S.; Orlandi, P.. - In: JOURNAL OF COMPUTATIONAL PHYSICS. - ISSN 0021-9991. - 439:(2021). [10.1016/j.jcp.2021.110408]

Natural grid stretching for DNS of wall-bounded flows

Pirozzoli S.
;
2021

Abstract

We propose a natural stretching function for DNS of wall-bounded flows, which blends uniform near-wall spacing with uniform resolution in terms of Kolmogorov units in the outer wall layer. Numerical simulations of pipe flow are used to educe optimal value of the blending parameter and of the wall grid spacing which guarantee accuracy and computational efficiency as a result of maximization of the allowed time step. Conclusions are supported by DNS carried out at sufficiently high Reynolds number that a near logarithmic layer in the mean velocity profile is present. Given a target Reynolds number, we provide a definite prescription for the number of grid points and grid clustering needed to achieve accurate results with optimal exploitation of resources.
2021
direct numerical simulation; wall turbulence
01 Pubblicazione su rivista::01a Articolo in rivista
Natural grid stretching for DNS of wall-bounded flows / Pirozzoli, S.; Orlandi, P.. - In: JOURNAL OF COMPUTATIONAL PHYSICS. - ISSN 0021-9991. - 439:(2021). [10.1016/j.jcp.2021.110408]
File allegati a questo prodotto
File Dimensione Formato  
Pirozzoli_Natural-grid_2021.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 515.63 kB
Formato Adobe PDF
515.63 kB Adobe PDF   Contatta l'autore
Pirozzoli_Preprint_Natural-grid_2021.pdf

accesso aperto

Note: https://doi.org/10.1016/j.jcp.2021.110408
Tipologia: Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review)
Licenza: Creative commons
Dimensione 455.22 kB
Formato Adobe PDF
455.22 kB Adobe PDF

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/11573/1629756
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 16
social impact