English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Mitigation of oscillatory instability in turbulent reactive flows: A novel approach using complex networks

Krishnan, A., Manikandan, R., Midhun, P. R., Reeja, K. V., Unni, V. R., Sujith, R. I., Marwan, N., Kurths, J. (2019): Mitigation of oscillatory instability in turbulent reactive flows: A novel approach using complex networks. - EPL (Europhysics Letters), 128, 1, 14003.
https://doi.org/10.1209/0295-5075/128/14003

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_23616 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_23616_3
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Krishnan, A.1, Author
Manikandan, R.1, Author
Midhun, P. R.1, Author
Reeja, K. V.1, Author
Unni, V. R.1, Author
Sujith, R. I.1, Author
Marwan, Norbert2, Author              
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: We present a novel and an efficient way to mitigate oscillatory instability in turbulent reactive flows. First, we construct weighted spatial correlation networks from the velocity field obtained from high-speed particle image velocimetry. Using network measures, we identify the optimal location for implementing passive control strategies. By injecting micro-jets at this optimal location, we are able to reduce the amplitude of the pressure oscillations to a value comparable to what is observed during the state of stable operation. This approach opens up new avenues to control oscillatory instabilities in turbulent flows.

Details

show
hide
Language(s):
 Dates: 2019
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1209/0295-5075/128/14003
PIKDOMAIN: RD4 - Complexity Science
eDoc: 8785
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Tipping Elements
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: EPL (Europhysics Letters)
Source Genre: Journal, SCI, Scopus, p3
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 128 (1) Sequence Number: 14003 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals132