Experimental Lagrangian acceleration probability density function measurement
By N. Mordant, A. Crawford, Eberhard Bodenschatz. 2003
255 citations recorded by the source corpus.
Abstract We report experimental results on the acceleration component probability distribution function at Rλ=690 to probabilities of less than 10−7. This is an improvement of more than an order of magnitude over past measurements and allows us to conclude that the fourth moment converges and the flatness is approximately 55. We compare our probability distribution to those predicted by several models inspired by non-extensive statistical mechanics. We also look at acceleration component probability distributions conditioned on a velocity component for conditioning velocities as high as three times the standard deviation and find them to be highly non-Gaussian.
Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6a11cbe75536b76818204242a93e1d38632fd54a
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In Artificial Intelligence
In Statistical and Nonlinear Physics
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Citations in the corpus
- A quantitative study of three-dimensional Lagrangian particle tracking algorithms (2006, methodology): “ Mordant et al. (2004) took images at a rate of 70 kHz in a volume of 2·2·2 mm with effectively 512·512 pixels.”
- Motion of inertial particles with size larger than Kolmogorov scale in turbulent flows (2008, methodology): “The dashed lines are the previous measurement using silicon-strip detectors in a similar apparatus at Rλ = 690 [15].”