The eddy structures shed in a backward facing step (BFS) flow are considered in this work. Particle image velocimetry (PIV) measurements are performed in the recirculating region located downstream of the step. These measurements are validated by comparison with data available in the literature. An automatic vortex detection algorithm is developed for the purpose of the automatic analysis of the experimental data to detect and characterize the eddy structures. This provides a database that can be further post-processed to obtain a statistical characterization of the vortices. The streamwise statistical evolution of the diameter and circulation of the cores of the detected vortices is evaluated and stored in a database. This database is used to propose an illustration of the energy contents of the detected eddy versus the core inverse size but also an ensemble average of a given class of vortices.
Experiments in Fluids – Springer Journals
Published: Nov 22, 2003
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