EconPapers    
Economics at your fingertips  
 

Simulation of Flow over Pseudo-Random Rough Surfaces

J. Yang, A. Stroh () and P. Forooghi
Additional contact information
J. Yang: Karlsruhe Institute of Technoligy (KIT), Institute of Fluid Mechanics (ISTM)
A. Stroh: Karlsruhe Institute of Technoligy (KIT), Institute of Fluid Mechanics (ISTM)
P. Forooghi: Aarhus University, Department of Mecahnical and Production Engineering

A chapter in High Performance Computing in Science and Engineering '20, 2021, pp 387-400 from Springer

Abstract: Abstract Direct Numerical Simulation (DNS) is used to study fully developed turbulent flow over a number of irregular rough surfaces in periodic plane channels. DNS in minimal channels, initially proposed by Chung et al. [7], is examined and generalized in the present research. To this end the DNS results for flow in channels with reduced streamwise and spanwise sizes (so-called minimal channels) are compared to those in large channels. Generation of roughness is based on a mathematical algorithm in which the height power spectrum of the roughness along with its height probability distribution can be prescribed (hence the term “pseudo-random” rough surface). This approach allows generation of roughness samples that may be considered as surrogates of realistic roughness and can replace the costly process of scanning industrial surfaces.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-80602-6_25

Ordering information: This item can be ordered from
http://www.springer.com/9783030806026

DOI: 10.1007/978-3-030-80602-6_25

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-030-80602-6_25