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High-dimensional chaos can lead to weak turbulence

Publication ,  Journal Article
Reynolds, RR; Virgin, LN; Dowell, EH
Published in: Nonlinear Dynamics
December 1, 1993

One of the outstanding unresolved questions of nonlinear dynamics is the relationship between chaos and turbulence. This is a deep and difficult question, not the least reason being that the definitions of "chaos" and "turbulence" are not universally agreed upon. Here we define chaos as the time history of a single descriptor of a deterministic dynamical system which undergoes a loss of temporal correlation with a change in some system parameter and that displays sensitivity to initial conditions. Turbulence is defined as the time history of the spatial distribution of a deterministic dynamical system which undergoes a loss of temporal and (subsequently) spatial correlation with a change in some system parameter(s). By analogy and numerical simulation it is argued that turbulence can be a consequence of multi-mode interaction of individually chaotic modes. The physical system used here is a fluttering panel in a supersonic airstream. am = modal amplitude coefficients D = panel stiffness (=Eh212(1-v2)) E = modulus of elasticity of panel material h = panel thickness k = dimensional foundation stiffness K = nondimensional foundation stiffness (=kL4/Dh) L = length of panel in direction of flow M = Mach number N = number of modes in series expansion of panel deflection Nfv/pa = dimensional applied inplane load Δp = dimensional static pressure differential across panel P = nondimensional static pressure differential across panel (=ΔpL4/Dh) q = dimensional dynamic pressure (=ρχU2/2) Rv = nondimensional inplane load (=Nfxpaa2/D) t = dimensional time T = period over which correlation is averaged U = dimensional flow velocity w = dimensional panel deflection W = nondimensional panel deflection (deflection/h) x = dimensional coordinate along panel α = inplane spring stiffness parameter λ = nondimensional dynamic pressure of flow over panel ( {Mathematical expression}) μ = mass ratio (ρχL/ρmh)) ν = Poisson's ratio ξ = nondimensional location along panel (x/L) Δξ = separation between points used in correlation function ξu = nondimensional correlation length ψ = correlation function © 1993 Kluwer Academic Publishers.

Duke Scholars

Published In

Nonlinear Dynamics

DOI

EISSN

1573-269X

ISSN

0924-090X

Publication Date

December 1, 1993

Volume

4

Issue

6

Start / End Page

531 / 546

Related Subject Headings

  • Acoustics
  • 49 Mathematical sciences
  • 40 Engineering
  • 09 Engineering
  • 01 Mathematical Sciences
 

Citation

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ICMJE
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Reynolds, R. R., Virgin, L. N., & Dowell, E. H. (1993). High-dimensional chaos can lead to weak turbulence. Nonlinear Dynamics, 4(6), 531–546. https://doi.org/10.1007/BF00162231
Reynolds, R. R., L. N. Virgin, and E. H. Dowell. “High-dimensional chaos can lead to weak turbulence.” Nonlinear Dynamics 4, no. 6 (December 1, 1993): 531–46. https://doi.org/10.1007/BF00162231.
Reynolds RR, Virgin LN, Dowell EH. High-dimensional chaos can lead to weak turbulence. Nonlinear Dynamics. 1993 Dec 1;4(6):531–46.
Reynolds, R. R., et al. “High-dimensional chaos can lead to weak turbulence.” Nonlinear Dynamics, vol. 4, no. 6, Dec. 1993, pp. 531–46. Scopus, doi:10.1007/BF00162231.
Reynolds RR, Virgin LN, Dowell EH. High-dimensional chaos can lead to weak turbulence. Nonlinear Dynamics. 1993 Dec 1;4(6):531–546.
Journal cover image

Published In

Nonlinear Dynamics

DOI

EISSN

1573-269X

ISSN

0924-090X

Publication Date

December 1, 1993

Volume

4

Issue

6

Start / End Page

531 / 546

Related Subject Headings

  • Acoustics
  • 49 Mathematical sciences
  • 40 Engineering
  • 09 Engineering
  • 01 Mathematical Sciences