Shear-wake flows formed from the interaction of two turbulent boundary layers are investigated. Primary focus is on the near-field downstream of the splitter plate. Two velocity ratios and two trailing edge geometries are explored via well-resolved hotwire traverses. Comparison with boundary layer data reveals that the loss of the no-slip condition is at first most apparent in the wall-normal velocity fluctuations. Estimates of the terms in the mean momentum equation are examined. Post-separation, the inertial terms in the mean momentum equation rapidly become dominant throughout the flow. Farther downstream the mean effect of turbulent inertia continues to change sign between the wake center and the freestream, as it does between the wall and freestream in the boundary layer. Unlike in the boundary layer, the mean and turbulent inertia terms retain leading order importance over the viscous force term everywhere.
Experiments in Fluids – Springer Journals
Published: Jan 3, 2013
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera