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280                   Thermal Hydraulics Aspects of Liquid Metal Cooled Nuclear Reactors




















         Fig. 6.2.1.4 (Left) k-ε-Pr t and (right) TMBF compared with TEFLU forced convection
                                4
         experimental results, Re jet ¼10 , d¼orifice diameter, and X¼distance to orifice
         (Carteciano and Gr€ otzbach, 2003).

         TMBF and its respective improvement needs to be performed. In this regard, within
         the framework of the SESAME project, ASCOMP has implemented this model in
         their code TransAT. As a next step, this model is foreseen to be extensively validated
         against the variety of reference databases that will be generated within the SESAME
         project.
            It must be noted that due to the mathematical difficulties, that is, in the form of a
         large number of equations and the respective model coefficients, the second-moment
         closure is less attractive for complex flow configurations. In addition, due to large
         number of differential equations, it requires high computational resources. Apart from
         that, the resulting large number of model coefficients would require tuning, which is a
         cumbersome task, to make the model work for most of the applications.


         6.2.1.2.2 Algebraic heat flux models

         A full differential second-moment closure model could represent a good platform for
         deriving simpler AHFM. The resulting AHFM form a class of heat flux models, which
         is simple compared with the second-order closure and yet sophisticated enough to
         provide a good physical meaning. A number of AHFMs have been developed
         with an explicit or implicit formulation, for example, by Abe and Suga (2001),
         Hanjalic (2002), Launder et al. (1975), and Kenjeres et al. (2005).


         6.2.1.2.2.1 Explicit AHFM
         In an explicit formulation, the turbulent heat flux is calculated by a gradient hypoth-
         esis with the eddy diffusivity concept. This is defined by using appropriate turbulence
         timescales. This leads to four-parameter turbulence models, like presented by Hwang
         and Lin (1999), Nagano and Shimada (1996), Abe et al. (1995), and Nagano et al.
         (1999). Because of the isotropic nature of the model, these four-parameter models
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