242
Views
5
CrossRef citations to date
0
Altmetric
Research Papers

Multi-scale statistical characterization of migrating pier scour depth in non-uniform sand bed channel

, & ORCID Icon
Pages 265-276 | Received 25 Nov 2016, Accepted 19 Feb 2017, Published online: 08 Mar 2017
 

ABSTRACT

The present study experimentally investigates the multi-scale statistical characterization of migrating pier scour depth over non-uniform sand bed channel. Experiments were conducted for circular piers of 75 mm diameters with and without seepage cases. The results of turbulent flow parameters at the upstream of the pier such as velocity and Reynolds shear stresses (RSSs) are observed to be negative within the scour hole, while the presence of downward seepage counteracts the reversal of the flow results in decreased velocity and Reynolds stresses. RSS is higher at the downstream of the pier owing to the formation of wake vortices. The elevation of scouring is gradually decreased with an increase of time as well as with the increase of downward seepage. Time scale-averaged celerity is decreased with an increase of time and increases with increase of seepage percentage. The present study also investigates the wavelet-based semblance analysis for time series of velocity and bed elevation at different sections of channel, which will show correlations in terms of wavelength and position.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 144.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.