arXiv · chao-dyn/9709019
Conditional Averages and Probability Density Functions in the Passive Scalar Field
Abstract
Two conditional averages for the increment Delta(x,x+r) = T(x)-T(x+r) of the scalar field are estimated for DNS data: H(Delta)= and G(Delta)=<|nabla Delta(x,x+r)|^2| Delta(x,x+r)>. The probability density function P(Delta) for Delta(x,x+r) is also calculated. If Delta, P(Delta), H(Delta), and G(Delta) are expressed as theta, P(theta), h(theta), and g(theta) in a dimensionless form, the data analysis has revealed interesting simple relationships between them. These relations may be helpful to construct a turbulence model.
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Naoya Takahashi, Tsutomu Kambe, Tohru Nakano, Toshiyuki Gotoh, Kiyoshi Yamamoto. 1997-11-11. Conditional Averages and Probability Density Functions in the Passive Scalar Field. https://doi.org/10.1143/jpsj.67.833
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