Data-driven derivation of the turbulent energy cascade generator

Details Data-driven derivation of the turbulent energy cascade generator Data-driven derivation of the turbulent energy cascade generator

2003-12-18

arxiv.org/abs/physics/0312113v1

Physics

Fluid Dynamics

15 pages, 6 figures

Scientific paper

Within the framework of random multiplicative energy cascade models of fully developed turbulence, expressions for two-point correlators and cumulants are derived, taking into account a proper conversion from an ultrametric to an Euclidean two-point distance. The comparison with two-point statistics of the surrogate energy dissipation, extracted from various wind tunnel and atmospheric boundary layer records, allows an accurate deduction of multiscaling exponents and cumulants. These exponents serve as the input for parametric estimates of the probabilistic cascade generator.

Affiliated with

Also associated with

No associations

Rating

Data-driven derivation of the turbulent energy cascade generator does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Data-driven derivation of the turbulent energy cascade generator, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data-driven derivation of the turbulent energy cascade generator will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-308629