Numerical Proof of Self-Similarity in Burgers' Turbulence

Nonlinear Sciences – Pattern Formation and Solitons

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

LaTeX, 18 pages (no figures) Hardcopy with figures available from britta@pdc.kth.se, Physics of Fluids A (submitted)

Scientific paper

We study the statistical properties of solutions to Burgers' equation, $v_t + vv_x = \nu v_{xx}$, for large times, when the initial velocity and its potential are stationary Gaussian processes. The initial power spectral density at small wave numbers follows a steep power-law $E_0(k) \sim |k|^n$ where the exponent $n$ is greater than two. We compare results of numerical simulations with dimensional predictions, and with asymptotic analytical theory. The theory predicts self-similarity of statistical characteristics of the turbulence, and also leads to a logarithmic correction to the law of energy decay in comparison with dimensional analysis. We confirm numerically the existence of self-similarity for the power spectral density, and the existence of a logarithmic correction to the dimensional predictions.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Numerical Proof of Self-Similarity in Burgers' Turbulence 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 Numerical Proof of Self-Similarity in Burgers' Turbulence, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Numerical Proof of Self-Similarity in Burgers' Turbulence will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-557578

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.