The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 80 of 56934
Back to Result List

Nonlinear stochastic estimation of wall models for LES

  • A key technology for large eddy simulation (LES) of complex flows is an appropriate wall modeling strategy. In this paper we apply for the first time a fully nonparametric procedure for the estimation of generalized additive models (GAM) by conditional statistics. As a database, we use DNS and wall-resolved LES data of plane channel flow for Reynolds numbers, Re = 2800, 4000 (DNS) and 10,935, 22,776 (LES). The statistical method applied is a quantitative tool for the identification of important model terms, allowing for an identification of some of the near-wall physics. The results are given as nonparametric functions which cannot be attained by other methods. We investigated a generalized model which includes Schumann's and Piomelli et al.'s model. A strong influence of the pressure gradient in the viscous sublayer is found; for larger wall distances the spanwise pressure gradient even dominates the tau(w,zy). component. The first a posteriori LES results are given.

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Markus AbelORCiDGND, Dragan Stojkovic, Michael Breuer
URL:http://www.sciencedirect.com/science/journal/0142727X
DOI:https://doi.org/10.1016/j.heatfluidflow.2005.10.011
ISSN:0142-727X
Publication type:Article
Language:English
Year of first publication:2006
Publication year:2006
Release date:2017/03/25
Source:International journal of heat and fluid flow. - ISSN 0142-727X. - 27 (2006), 2, S. 267 - 278
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.