Refined similarity writes with universal normalized conditional statistics at high local Reynolds number. Then . The distribution of coarse-grained energy dissipation need not be universal. Refined similarity itself does not prescribe that distribution.
If is Gaussian with variance , normalization gives . Taking predicts . Its eventual negative high-order exponents show that this extrapolation cannot hold for arbitrarily large orders with finite uniform velocity moments.

Articles by others on the same topic (0)

There are currently no matching articles.