Published 1991 | Version v1
Miscellaneous Open

Numerical simulation of stratified flows with different k-ε turbulence models

Description

The thesis comprises the numerical simulation of stratified flows with different k-ε models. When using the k-ε model, two equations are solved to describe the turbulence. The k-equation represents the turbulent kinetic energy of the turbulence and the ε-equation is the turbulent dissipation. Different k-ε models predict stratified flows differently. The standard k-ε model leads to higher turbulent mixing than the low-Reynolds model does. For lower Froude numbers, F0, this effect becomes enhanced. Buoyancy extension of the k-ε model also leads to less vertical mixing in cases with strong stratification. When the stratification increases, buoyancy-extension becomes larger influence. The turbulent Prandtl number effects have large impact on the transport of heat and the development of the flow. Two different formulae which express the turbulent Prandtl effects have been tested. For unstably stratified flows, the rapid mixing and three-dimensionality of the flow can in fact be computed using a k-ε model when buoyancy-extended is employed. The turbulent heat transfer and thus turbulent production in unstable stratified flows depends strongly upon the turbulent Prandtl number effect. The main conclusions are: Stable stratified flows should be computed with a buoyancy-extended low-Reynolds k-ε model; Unstable stratified flows should be computed with a buoyancy-extended standard k-ε model; The turbulent Prandtl number effects should be included in the computations; Buoyancy-extension has lead to more correct description of the physics for all of the investigated flows. 78 refs., 128 figs., 17 tabs

Availability note (English)

MF available from INIS under the Report Number; OSTI as DE93721665; NTIS; INIS.

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Additional details

Publishing Information

ISBN
82-7119-322-8
Imprint Pagination
196 p.
Report number
NEI-NO--285

INIS

Country of Publication
Norway
Country of Input or Organization
Norway
INIS RN
24010931
Subject category
S42: ENGINEERING; S02: PETROLEUM;
Resource subtype / Literary indicator
Thesis
Descriptors DEI
COMPUTERIZED SIMULATION; FLUID FLOW; MATHEMATICAL MODELS; OFFSHORE OPERATIONS; PRANDTL NUMBER; STRATIFICATION; TURBULENT FLOW
Descriptors DEC
SIMULATION