Award Abstract # 1246929
INSPIRE: Statistical State Dynamics of Turbulent Systems

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: PRESIDENT AND FELLOWS OF HARVARD COLLEGE
Initial Amendment Date: September 20, 2012
Latest Amendment Date: March 8, 2017
Award Number: 1246929
Award Instrument: Standard Grant
Program Manager: Eric DeWeaver
edeweave@nsf.gov
 (703)292-8527
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: December 1, 2012
End Date: October 31, 2017 (Estimated)
Total Intended Award Amount: $524,999.00
Total Awarded Amount to Date: $600,912.00
Funds Obligated to Date: FY 2012 = $524,999.00
FY 2017 = $75,913.00
History of Investigator:
  • Brian Farrell (Principal Investigator)
    farrell@seas.harvard.edu
Recipient Sponsored Research Office: Harvard University
1033 MASSACHUSETTS AVE STE 3
CAMBRIDGE
MA  US  02138-5366
(617)495-5501
Sponsor Congressional District: 05
Primary Place of Performance: Harvard University
24 Oxford Street
Cambridge
MA  US  02138-2902
Primary Place of Performance
Congressional District:
05
Unique Entity Identifier (UEI): LN53LCFJFL45
Parent UEI:
NSF Program(s): PLASMA PHYSICS,
OFFICE OF MULTIDISCIPLINARY AC,
Climate & Large-Scale Dynamics,
INSPIRE
Primary Program Source: 01001213DB NSF RESEARCH & RELATED ACTIVIT
01001718DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 0000, 1062, 4444, 8653, OTHR
Program Element Code(s): 124200, 125300, 574000, 807800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

This INSPIRE award is partially funded by the Climate and Large-scale Dynamics Program in the Division of Atmospheric and Geospace Science of the NSF Directorate for Geosciences (GEO), and the Plasma Physics Program in the Physics Division of the NSF Directorate for Mathematical and Physical Sciences (MPS).

The goal of the project is to develop a theory for the relationship between turbulence and large-scale coherent structures that can be applied very generally to a variety problems in disciplines including atmospheric circulation, plasma physics, planet formation, and the generation of planetary magnetic fields. The work is based on stochastic structural stability theory (SSST), a theoretical framework which the Principal Investigator has developed in the context of geophysical fluid dynamics. The SSST method framework is used to create equations for the mutual interaction of turbulence and coherent structures, and the equilibrium solutions of the equations identify the statistical mean states of the system. For example, when the theory is applied to the formation of jet streams due to interactions between the zonal-mean atmospheric flow and wave motions, it predicts an entire bifurcation structure from jet emergence as a linear instability to finite amplitude equilibration followed by a specific series of structural bifurcations as a function of parameters, such as turbulence intensity, as well as existence of limit cycles and chaotic mean state behavior. Applications of the theory considered here include the formation of zonal jets in planetary atmospheres, jet formation in toroidally confined plasmas, the self-sustaining magnetic fields of planets, boundary layer turbulence accompanied by streamwise rolls and streaks (of interest in meteorology and oceanography), and the maintenance of turbulent angular momentum transport in Keplerian discs required for planetary formation.

The project has broader scientific impacts in that it seeks to identify unifying principles for phenomena in several scientific disciplines that are not currently recognized as having the same underlying structures and dynamics. The unifying, cross-disciplinary nature of the work to be performed is the justification for funding the project through the INSPIRE mechanism.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 32)
Constantinou, N. C., Farrell, B. F., Ioannou, P. J. "Statistical state dynamics of jet/wave coexistence in beta-plane turbulence." J. Atmos. Sci. , 2015
Constantinou, N. C., Farrell, B. F., & Ioannou, P. J. "Emergence and equilibration of jets in beta-plane turbulence" J. Atmos. Sci. , v.71 , 2014 , p.1818
Constantinou, N. C., Farrell, B. F., & Ioannou, P. J. "Emergence and equilibration of jets in beta-plane turbulence" J. Atmos. Sci. , v.71 , 2014 , p.1818
Constantinou, N. C., Farrell, B. F., & Ioannou, P. J. "Emergence and Equilibration of Jets in Beta-Plane Turbulence: Applicationsof Stochastic Structural Stability Theory" J. Atmos. Sci. , 71 (5), 1818-1842 , v.71 , 2014 , p.1818
Constantinou, N. C., Lozano-Duran, A., Farrell, B. F., Ioannou, P. J., Nikolaids, M. - A., & Jimenez, J. "Turbulence in the highly restricted dynamics of a closure at second order: comparison with DNS" Journal Of Physics , v.506 , 2014 , p.012004 doi:10.1088/1742-6596/506/1/012004
Constantinou, N. C., Lozano-Duran, A., Farrell, B. F., Ioannou, P. J., Nikolaids, M. - A., & Jimenez, J. "Turbulence in the highly restricted dynamics of a closure at second order: comparison with DNS" Journal Of Physics , v.506 , 2014 , p.012004
Constantinou, N. C., Lozano-Duran, A., Farrell, B. F., Ioannou, P. J., Nikolaids, M. - A., & Jimenez, J. "Turbulence in the highly restricted dynamics of a closure at second order: comparison with DNS." Journal Of Physics , v.506 , 2014 , p.012004 1742-6596/506/1/012004
Constantinou, N. C., Lozano-Duran, A., Farrell, B. F., Ioannou, P. J., Nikolaids, M. - A., &Jimenez, J. "Turbulence in the highly restricted dynamics of a closure at second order: comparison with DNS." Journal Of Physics , v.506 , 2015
Farrell, B.F. and P.J. Ioannou "Dynamics of streamwise rolls and streaks in wall-bounded shear flow" Journal of Fluid Mechanics , v.708 , 2012 , p.149
Farrell, B. F., Ioannou, P. J. "A statistical state dynamics based theory for the formation and equilibration of Saturn's North Polar Jet" Phys. Rev. Fluids , v.2 , 2017 , p.073801
Farrell, B. F., & Ioannou, P. J. "A statistical state dynamics-based analysis of the physical mechanisms sustaining and regulating turbulence in Couette ?ow" Phys. Rev. Fluids , v.2 , 2017 , p.084608
(Showing: 1 - 10 of 32)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Turbulence is ubiquitous in both natural and engineered systems with examples extending in scale from the planetary turbulence of cyclones in the Earth's midlatitude atmosphere and the turbulent banded winds of Jupiter to the small scale turbulence responsible for mixing pollution from sources near the Earth's surface and droplets inside clouds.  The role of turbulence in transporting material substances and mechanical properties such as momentum is central to atmospheric dynamics at all scales.  Turbulence is also a primary component of drag in pipes, channels, airframes and wings as well as ship hulls and machinery such as turbines.  Control of turbulence is important in such diverse applications as preventing loss of lift in aircraft wings and maintaining confinement of reactants in fusion devices.  Despite the practical importance of and the challenge posed to physics by the turbulence problem a comprehensive understanding of the mechanism of turbulence has remained elusive.  The equations governing the dynamics of turbulence have been known since the middle of the nineteenth century and it is not in doubt that the secret of understanding the nature of turbulence lies in solving these equations.   The contribution of this work is to solve the turbulence problem at the level of fundamental mechanism by making a paradigm shift from viewing turbulence as a single vast interacting system to viewing turbulence as a cooperative interaction between a set of large scale coherent structures and the relatively small in scale remaining motions which, despite being largely incoherent,  are still systematically influenced by the coherent structures in a way that the equations governing the turbulence dictate.  The analytical reflection of this change in perspective is obtained by casting the same equations governing turbulence that have long been known in a different form so that the mechanistically crucial separation of the coherent and incoherent components is made explicit.   This switch in viewpoint from studying individual manifestations of turbulence as defined by the velocity at every point in the flow in all its complexity to studying the cooperative dynamics of interaction between statistical quantities defined by averaging the velocities in the turbulence uncovers an underlying far simpler and more easily understood form of the turbulence dynamics.   The power and theoretical insight gained through this change in perspective is validated by the fact that the turbulent state has analytical solution in this new formulation whereas it has no analytical solution in the traditional formulation, as has long been recognized.  In the work supported by this grant analytical and numerical methods have been developed and applied to exploit this change in perspective in order to solve the problem of large scale jet formation and equilibration in planetary atmospheres, the formation and equilibration of horizontal layers in velocity and density in the Earth's atmosphere and oceans and the transition to and maintenance of turbulence in pipes and channels as well as in the turbulence near the Earth's surface.  Taking a wider view, the insight gained and the methods developed in this work to study the dynamics of turbulence in the systems mentioned are now available to be used to solve many other problems the dynamics of which are fundamentally the result  of cooperative interaction among statistical entities.   This wide class of problems has heretofore been inaccessible to comprehensive solution using traditional techniques based on simulations of individual manifestations of what are in terms of their role in  the dynamics at the fundamental level statistical entities.


Last Modified: 05/13/2018
Modified by: Brian F Farrell

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