2018
DOI: 10.1111/sapm.12230
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Mass distribution and skewness for passive scalar transport in pipes with polygonal and smooth cross sections

Abstract: We extend our previous results characterizing the loading properties of a diffusing passive scalar advected by a laminar shear flow in ducts and channels to more general cross-sectional shapes, including regular polygons and smoothed corner ducts originating from deformations of ellipses. For the case of the triangle and localized, crosswise uniform initial distributions, short-time skewness is calculated exactly to be positive, while long-time asymptotics shows it to be negative. Monte Carlo simulations confi… Show more

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Cited by 5 publications
(4 citation statements)
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“…Comparison of Full-Monte Carlo Method (FMC) with DMC, and the surprising role of boundaries on the long time stateWe next explore the role of the addition of physical boundary condition in the random passive scalar equation using what we refer to as "Full Monte-Carlo" simulations (FMC) which refers to solving the underlying stochastic differential equation (SDE) underlying passive scalar advection with respect to the double randomness arising from a) molecular diffusion, and b) the random flow field. This is in contrast to our new DMC simulations which are and Exact PDF at (0,0),t∈[1,12] Comparison of Direct Monte-Carlo PDF evolution for line source initial data at x = y = 0 with exact PDF evaluated using equation 10, using 10 8 realizations of the random process, γ(t), and 500 steps.…”
mentioning
confidence: 83%
See 1 more Smart Citation
“…Comparison of Full-Monte Carlo Method (FMC) with DMC, and the surprising role of boundaries on the long time stateWe next explore the role of the addition of physical boundary condition in the random passive scalar equation using what we refer to as "Full Monte-Carlo" simulations (FMC) which refers to solving the underlying stochastic differential equation (SDE) underlying passive scalar advection with respect to the double randomness arising from a) molecular diffusion, and b) the random flow field. This is in contrast to our new DMC simulations which are and Exact PDF at (0,0),t∈[1,12] Comparison of Direct Monte-Carlo PDF evolution for line source initial data at x = y = 0 with exact PDF evaluated using equation 10, using 10 8 realizations of the random process, γ(t), and 500 steps.…”
mentioning
confidence: 83%
“…We do this to point out an important feature regarding the sign of the skewness. In recent work of two of the authors [1], they focussed attention on when the sign of the skewness implies a correlation between the median and the mean. In particular, if the median is to the right of the mean, more mass is clearly to the right of the mean by definition.…”
Section: A New Rapid Monte-carlo Methodsmentioning
confidence: 99%
“…The information of shape provided by the skewness could improve the design of microfluidic flow injection analysis [3,58] and chromatographic separation [14].…”
Section: Aris Moment Hierarchymentioning
confidence: 99%
“…Shortly following G. I. Taylor, Aris [4] presented an alternative approach for shear layers yielding a hierarchy for the spatial moments of the scalar field. More recent moment analysis shows how the boundary geometry of the pipe can be used to control the distribution of solute which is advected by the pressure driven flow [1,2,3].…”
Section: Introductionmentioning
confidence: 99%