SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:kth-16182"
 

Search: onr:"swepub:oai:DiVA.org:kth-16182" > Adaptive simulation...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Adaptive simulation of the subcritical flow past a sphere

Hoffman, Johan (author)
KTH,Numerisk analys, NA
 (creator_code:org_t)
2006-11-10
2006
English.
In: Journal of Fluid Mechanics. - : Cambridge University Press (CUP). - 0022-1120 .- 1469-7645. ; 568, s. 77-88
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Adaptive DNS/LES (direct numerical simulation/large-eddy simulation) is used to compute the drag coefficient CD for the flow past a sphere at Reynolds number Re = 10(4). Using less than 10(5) mesh points, CD is computed to an accuracy of a few percent, corresponding to experimental precision, which is at least an order of magnitude cheaper than standard non-adaptive LES computations in the literature. Adaptive DNS/LES is a General Galerkin G2 method for turbulent flow, where a stabilized Galerkin finite element method is used to compute approximate solutions to the Navier-Stokes equations, with the mesh being adaptively refined until a stopping criterion is reached with respect to the error in a chosen output of interest, in this paper CD. Both the stopping criterion and the mesh refinement strategy are based on a posteriori error estimates, in the form of a space-time integral of residuals multiplied by derivatives of the solution of an associated dual problem, linearized at the approximate solution, and with data coupling to the output of interest. There is no filtering of the equations, and thus no Reynolds stresses are introduced that need modelling. The stabilization in the numerical method is acting as a simple turbulence model.

Keyword

posteriori error estimation
duality

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Hoffman, Johan
Articles in the publication
Journal of Fluid ...
By the university
Royal Institute of Technology

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view