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Emergence of collective modes, ecological collapse and directed percolation at the laminar-turbulence transition in pipe flow Hong-Yan Shih, Tsung-Lin Hsieh, Nigel Goldenfeld University of Illinois at Urbana-Champaign Partially supported by


  1. Emergence of collective modes, ecological collapse and directed percolation at the laminar-turbulence transition in pipe flow Hong-Yan Shih, Tsung-Lin Hsieh, Nigel Goldenfeld University of Illinois at Urbana-Champaign Partially supported by NSF-DMR-1044901 H.-Y. Shih, T.-L. Hsieh and N. Goldenfeld, Nature Physics 12 , 245 (2016) N. Goldenfeld and H.-Y. Shih, J. Stat. Phys. 167 , 575-594 (2017)

  2. Deterministic classical mechanics of many particles in a box  statistical mechanics

  3. Deterministic classical mechanics of infinite number of particles in a box = Navier-Stokes equations for a fluid  statistical mechanics

  4. Deterministic classical mechanics of infinite number of particles in a box = Navier-Stokes equations for a fluid  statistical mechanics

  5. Transitional turbulence: puffs • Reynolds’ original pipe turbulence (1883) reports on the transition Univ. of Manchester Univ. of Manchester “Flashes” of turbulence:

  6. Precision measurement of turbulent transition Q: will a puff survive to the end of the pipe? Many repetitions  survival probability = P(Re, t) Hof et al., PRL 101 , 214501 (2008)

  7. Pipe flow turbulence Decaying single puff metastable spatiotemporal expanding laminar puffs intermittency slugs Re 1775 2050 2500 − 𝑢−𝑢 0 𝜐(Re) Survival probability 𝑄 Re, 𝑢 = 𝑓 P(Re,t) Puff lifetime Avila et al. , (2009) Avila et al. , Science 333 , 192 (2011) Hof et al. , PRL 101 , 214501 (2008) 6

  8. Pipe flow turbulence Decaying single puff Splitting puffs metastable spatiotemporal expanding laminar puffs intermittency slugs Re 1775 2050 2500 − 𝑢−𝑢 0 𝜐(Re) Splitting probability 1 − 𝑄 Re, 𝑢 = 𝑓 P(Re,t) Mean time Puff between lifetime split events Avila et al. , (2009) Avila et al. , Science 333 , 192 (2011) Hof et al. , PRL 101 , 214501 (2008) 6

  9. Pipe flow turbulence Decaying single puff Splitting puffs metastable spatiotemporal expanding laminar puffs intermittency slugs Re 1775 2050 2500 − 𝑢−𝑢 0 𝜐(Re) Splitting probability 1 − 𝑄 Re, 𝑢 = 𝑓 P(Re,t) Mean time Puff between lifetime split events Avila et al. , (2009) Avila et al. , Science 333 , 192 (2011) Hof et al. , PRL 101 , 214501 (2008) 6

  10. Pipe flow turbulence Decaying single puff Splitting puffs metastable spatiotemporal expanding laminar puffs intermittency slugs Re 1775 2050 2500 Super-exponential scaling: 𝜐 ~exp (exp Re) − 𝑢−𝑢 0 𝜐 0 𝜐(Re) Survival probability 1 − 𝑄 Re, 𝑢 = 𝑓 P(Re,t) Mean time Puff between lifetime split events Avila et al. , (2009) Avila et al. , Science 333 , 192 (2011) Hof et al. , PRL 101 , 214501 (2008) 6

  11. MODEL FOR METASTABLE TURBULENT PUFFS & SPATIOTEMPORAL INTERMITTENCY Shih, Hsieh and Goldenfeld, Nature Physics (2016) Very complex behavior and we need to understand precisely what happens at the transition, and where the DP universality class comes from. metastable spatiotemporal expanding laminar intermittency slugs puffs Re 1775 2100 2500 70

  12. Logic of modeling phase transitions Magnets Electronic structure Ising model Landau theory RG universality class (Ising universality class)

  13. Logic of modeling phase transitions Magnets Turbulence Electronic structure Kinetic theory Ising model Navier-Stokes eqn ? Landau theory RG universality class ? (Ising universality class)

  14. Logic of modeling phase transitions Magnets Turbulence Electronic structure Kinetic theory Ising model Navier-Stokes eqn ? Landau theory RG universality class ? (Ising universality class)

  15. Identification of collective modes at the laminar-turbulent transition To avoid technical approximations, we use DNS of Navier-Stokes

  16. Predator-prey oscillations in pipe flow Turbulence Zonal flow Re = 2600 Energy Time Simulation based on the open source code by Ashley Willis: openpipeflow.org 8

  17. What drives the zonal flow? • Interaction in two fluid model Turbulence – Turbulence, small-scale (k>0) Zonal flow – Zonal flow, large-scale (k=0,m=0): induced by turbulence and creates shear to suppress turbulence 1) Anisotropy of turbulence creates Reynolds stress which generates the mean velocity in azimuthal direction 2) Mean azimuthal velocity decreases the anisotropy of turbulence and thus suppress turbulence 8

  18. What drives the zonal flow? • Interaction in two fluid model Turbulence – Turbulence, small-scale (k>0) Zonal flow – Zonal flow, large-scale (k=0,m=0): induced by turbulence and creates shear to suppress turbulence 1) Anisotropy of turbulence creates Reynolds stress which generates the mean velocity in azimuthal direction 2) Mean azimuthal velocity decreases the anisotropy of turbulence and thus suppress turbulence 8

  19. What drives the zonal flow? • Interaction in two fluid model Turbulence – Turbulence, small-scale (k>0) Zonal flow – Zonal flow, large-scale (k=0,m=0): induced by turbulence and creates shear to suppress turbulence 1) Anisotropy of turbulence creates Reynolds stress which generates the mean velocity in azimuthal direction 2) Mean azimuthal velocity decreases the anisotropy of turbulence and thus suppress turbulence induce suppress suppress turbulence zonal flow turbulence zonal flow induce 8

  20. What drives the zonal flow? • Interaction in two fluid model Turbulence – Turbulence, small-scale (k>0) Zonal flow – Zonal flow, large-scale (k=0,m=0): induced by turbulence and creates shear to suppress turbulence 1) Anisotropy of turbulence creates Reynolds stress which generates the mean velocity in azimuthal direction 2) Mean azimuthal velocity decreases the anisotropy of turbulence and thus suppress turbulence induce suppress suppress prey predator prey predator induce 8

  21. Population cycles in a predator-prey system Predator Prey Resource p /2 phase shift between prey and predator population θ ≈ p /2 Persistent oscillations + Fluctuations https://interstices.info/jcms/n_49876/des-especes-en-nombre

  22. Derivation of predator-prey equations A = predator B = prey Zonal flow Turbulence E = food/empty state Vacuum = Laminar flow Zonal flow-turbulence Predator-prey

  23. Extinction/decay statistics for stochastic predator-prey systems

  24. Pipe flow turbulence Decaying single puff Splitting puffs metastable spatiotemporal expanding laminar puffs intermittency slugs Re 1775 2050 2500 Predator-prey model traveling expanding nutrient metastable fronts population only population prey 0.02 0.05 0.08 birth rate Splitting populations Decaying population

  25. Pipe flow turbulence Decaying single puff Splitting puffs metastable spatiotemporal expanding laminar puffs intermittency slugs Re 1775 2050 2500 linear stability of mean-field solutions traveling expanding nutrient metastable fronts population only population prey 0.02 0.05 0.08 birth rate Splitting populations Decaying population

  26. Puff splitting in predator-prey systems Puff-splitting in predator-prey ecosystem Puff-splitting in pipe turbulence in a pipe geometry Avila et al., Science (2011)

  27. Predator-prey vs. transitional turbulence Prey lifetime Turbulent puff lifetime Mean time between puff split events Mean time between population split events Avila et al. , Science 333 , 192 (2011) 3 Song et al. , J. Stat. Mech. 2014(2 ) , P020010

  28. Predator-prey vs. transitional turbulence Prey lifetime Turbulent puff lifetime Extinction in Ecology = Death of Turbulence Mean time between puff split events Mean time between population split events Avila et al. , Science 333 , 192 (2011) 3 Song et al. , J. Stat. Mech. 2014(2 ) , P020010

  29. Roadmap: Universality class of laminar-turbulent transition (Boffetta and Ecke, 2012) ? (Classical) Universality Turbulence class Direct Numerical Simulations of Navier-Stokes Two-fluid model Predator-Prey (Pearson Education, Inc., 2009)

  30. Roadmap: Universality class of laminar-turbulent transition (Boffetta and Ecke, 2012) ? (Classical) Directed Turbulence Percolation (Wikimedia Commons) Direct Numerical Simulations Reggeon field theory of Navier-Stokes (Janssen, 1981) Two-fluid Field Theory model (Wikimedia Commons) Extinction transition Predator-Prey (Mobilia et al., 2007) (Pearson Education, Inc., 2009)

  31. Directed percolation & the laminar- turbulent transition • Turbulent regions can spontaneously relaminarize (go into an absorbing state). • They can also contaminate their neighbourhood with turbulence. (Pomeau 1986) Annihilation Spatial dimension Decoagulation Time Diffusion Coagulation

  32. Directed percolation transition • A continuous phase transition occurs at 𝑞 𝑑 . Spatial dimension Time Hinrichsen (Adv. in Physics 2000) • Phase transition characterized by universal exponents: 𝜊 ⊥ ~ 𝑞 − 𝑞 𝑑 −𝜉 ⊥ 𝜊 ∥ ~ 𝑞 − 𝑞 𝑑 −𝜉 ∥ 𝜍~ 𝑞 − 𝑞 𝑑 𝛾

  33. Directed percolation vs. transitional turbulence − 𝑢−𝑢 0 Survival probability 𝑄 Re, 𝑢 = 𝑓 𝜐(Re) Longest percolation path Turbulent puff lifetime Mean time between puff split events Longest length of empty site Sipos and Goldenfeld (2011) Avila et al. , (2011) Song et al. , (2014) Shih and Goldenfeld (in preparation) 3

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