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Journal Articles

Statistical characteristics of turbulent plasmas dominated by zonal flows

Matsumoto, Taro; Kishimoto, Yasuaki; Miyato, Naoaki; Li, J.*

Journal of Plasma Physics, 72(6), p.1183 - 1187, 2006/12

 Times Cited Count:6 Percentile:21.49(Physics, Fluids & Plasmas)

no abstracts in English

Journal Articles

Statistical characteristics from gyro-fluid transport simulation

Matsumoto, Taro; Kishimoto, Yasuaki; Li, J.

Journal of Plasma and Fusion Research SERIES, Vol.6, p.597 - 600, 2004/00

no abstracts in English

JAEA Reports

PNC Technical Review No.101

PNC TN1340 97-001, 154 Pages, 1997/03

PNC-TN1340-97-001.pdf:21.55MB

no abstracts in English

JAEA Reports

Development of analytical model for temperature fluctuationin in coolant (VI); Investigation of sodium temperature fluctuation by the DINUS-3 code

PNC TN9410 94-182, 29 Pages, 1994/06

PNC-TN9410-94-182.pdf:0.93MB

A three-dimensional temperature fluctuation analysis was carried out using a general-purpose multi-dimensional thermohydraulics direct numerical simulation code DINUS-3 for parallel impinging jet experiments in sodium and water simulating thermal striping phenomena. The code utilized a third-order upwind scheme and an adaptive control system based on the Fuzzy theory to control time step sizes. The calculated results in both the cases showed evident differences mainly attributed to fluid properties such as heat conductivity, molecular viscosity, etc.. From the analysis, the following conclusions were obtained. (1)The amount of the temperature fluctuation damping by fluid mixing in sodium flow shows approximately two times larger than in water flow. While the damping amounts due to the laminar sub-layer in sodium flow is approximately 1/3 of that in water flow, (2)The variance of the probabilily density function for the calculated sodium temperature fluctuations is two times of the calculated water temperature fluctuations, and (3)The histogram of the normalized amplitude for calculated water temperature fluctuations can be fitted by a Layleigh distribution. By contrast, in the sodium case, the profile is very much like a exponential distribution. The results obtained in this work are very encouraging; the DINUS-3 code is one of the efficient measures to evaluate thermal striping phenomena in sodium, a low Prandtl number fluid, when one wishes to perform thermal striping evaluation in Liquid Metal Fast Breeder Reactors.

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