Spatio-temporal impulse responses in channel flow of viscoelastic fluids

Gokul Hariharan, Mihailo R. Jovanovic, Satish Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The study of non-modal amplification of distributed body forces in channel flows of viscoelastic fluids has provided useful insight into the mechanisms that may govern the initial stages of transition to elastic turbulence. However, distributed body forces are not easy to implement in experiments and there is a need to examine amplification of localized body forces. In this work, we use the linearized governing equations to examine such amplification in channel flow of viscoelastic fluids. We first identify the wall-normal location at which the impulsive excitations experience the largest amplification and then analyze the kinetic energy of the fluctuations and the resulting flow structures. For a viscoelastic fluid at low Reynolds numbers, the largest amplification occurs for impulses located near the channel wall. Flow structures that evolve from the localized body force at the optimal location stretch out in the streamwise direction in a viscoelastic fluid, unlike a Newtonian fluid in which disturbances merely diffuse in space due to low inertia. For viscoelastic fluids, we observe the development of vortical structures away from the source of impulsive excitation. This feature is less prominent in Newtonian fluids and it may provide a mechanism for triggering the initial stages of transition to elastic turbulence.

Original languageEnglish (US)
Title of host publication2018 Annual American Control Conference, ACC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781538654286
StatePublished - Aug 9 2018
Event2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
Duration: Jun 27 2018Jun 29 2018

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2018 Annual American Control Conference, ACC 2018
Country/TerritoryUnited States

Bibliographical note

Funding Information:
Supported in part by the National Science Foundation under award CBET-1510654. The Minnesota Supercomputing Institute (MSI) at the University of Minnesota is gratefully acknowledged for providing computing resources.

Publisher Copyright:
© 2018 AACC.


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