Non-diffusive transport in pressure driven plasma turbulence D. del-Castillo-Negrete B. A. Carreras...
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Non-diffusive transport in pressure driven plasma turbulence
D. del-Castillo-Negrete
B. A. Carreras
V. Lynch
Oak Ridge National Laboratory
USA
20th IAEA Fusion Energy ConferenceVilamoura, Portugal. 1-6 Nov, 2004
Beyond the standard diffusive transport paradigm
•Experimental and theoretical evidence suggests that transport in fusion plasmas deviates from the diffusion paradigm:
t T x x, t x T S(x,t)
• Fast propagation and non-local transport phenomena• Inward transport observed in off-axis fueling experiments
•Our goal is to develop transport models that overcome the limitations of the diffusion paradigm.
•The models incorporate in a unified way non-locality, memory effects, and non-diffusive scaling.
•To motivate and test the models we consider transport in pressure driven plasma turbulence
Examples:
(1)
Non-diffusive transport
Tracers dynamics
t ˜ V 2 ˜
B0
min0rc
1
r
˜ p
1
min0 R0
||2 ˜ ||
4 ˜
t ˜ V ˜ p p
r
1
r
˜
2 ˜ p || ||
2 ˜ p
p
t
1
r
r
r ˜ V r ˜ p S0 D1
r
r
r p
r
dr
dtV
1
B2 ˜ B
r 2 ~ t4 / 3Levy
distribution
Probability density function of radial displacements
Super-diffusive scaling
Pressure gradient driven plasma turbulence
(2)
Towards an effective transport model for non-diffusive turbulent transport
dr
dt ˜ V
1
B2 ˜ B
P
t ˜ V P 0
•Individual tracers follow the turbulent field
•The distribution of tracers P evolves according to
•The idea is to construct a model that “encapsulates” the complexity of the turbulence field in an effective flux and reproduces the observed pdf
homogeneous isotropic turbulence
x P
P
t
x
Gaussianclosures
diffusivetransport
???????transport in pressure driven plasma turbulence
˜ V
(3)
Non-Gaussiandistributions
What is the origin of non-diffusive transport?
ExB flow velocity eddiesinduce large tracer trappingthat leads to temporal non-locality, or memory effects
Tracer orbits
Trapped orbit
“Levy”flight
“Avalanche like” phenomena induce largetracer displacements that lead to spatial non-locality
The combination of tracer trapping and flights leads to non-diffusivetransport
(4)
Continuous time random walk model
= jump n
nn
n = waiting time = waiting time pdf
= jump size pdf
P(x,t ) (x) (t' )dt' (t t ' ) (x x' ) P(x' , t' )dx'
0
t
t
dt'
Contribution from particles that have not moved during (0,t)
Contribution from particles located at x’ and jumping to x during (0,t)
( ) ~ e
( ) ~ e 2 / 2
No memory
No long displacements
t P x x P S
Standard diffusion model(5)
MasterEquation(Montroll-Weiss 1965)
Proposed transport model
P
t
x
w w r
t
d dy K x y;t a
x
0
t
P(y,)
( ) ~ (1)
( ) ~ ( 1)
Long waiting times
Long displacements (Levy flights)
Non-local effects due to avalanches causing Levy flights modeled with integral operators in space.
K x y;t 1
t 1 x y
Non-Markovian, memory effects due to trapping in eddies modeled with integral operators in time.
P
t
P
x
Equivalent formulationusing fractional derivatives
For pressure driven plasma turbulence
3/ 4 1/ 2(6)
Algebraic decay in space due to “Levy flights” implies that there is no characteristic transport scale
Test of fractional transport model P
t
P
x
Algebraic scaling in time caused by memory effects
Turbulence model
~ x (1)
Levy distribution at fixed time
Turbulence
~ t
model
Pdf at fixed point in space
~ t
(7)
Super-diffusive scaling
Pressure fluctuations W ~ x2
turbulence
model
r 2 ~ t2
Diffusive scaling
1/ 2Tracers
0.63 / 2/ 3 0.666Model
Time
r/a(8)
•We presented numerical evidence of non-diffusive transport i.e.,super-diffusion and Levy distributions, in plasma turbulence.
•We proposed a transport model that incorporates in a unified way space non-locality, memory effects and anomalous diffusion scaling.
•There is quantitative agreement between the model and the turbulence calculations.
•The model represents a first attempt to construct effective transport operators when the complexity of the turbulence invalidates the use of Gausian closures.
Conclusions
t ˜ V t
x
(9)
Further details: del-Castillo-Negrete, et al., Phys. of Plasmas, 11, 3854, (2004).
Fractional derivatives