ORIG. RUSSIAN: SOME PROBLEMS OF HEAT TRANSFER IN LIQUID-COOLED REACTORS

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CIA-RDP88-00904R000100100027-1
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RIPPUB
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U
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23
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December 22, 2016
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August 12, 2009
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27
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Publication Date: 
May 1, 1964
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STUDY
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Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 Third United Nations International Conference on the Peaceful Uses of Atomic Energy Confidential until official release during Conference A/CONF. 28/P/326 USSR May 1964 Original: RUSSIAN . SOME PROBLEMS OF [HEAT"I'LiANSFER IWL.IQUII)-COOLED REACTORS V . S.Osmachkin 1. INTRODUCTION The modern nuclear paver reactors are highly forced. Large heat fluxes and specific power, rigid limitations on the coolant and fuel elements temperatures demand knowledge of temlxera- ture distribution in the core with a high reliability. The main problem in thermal reactor design is to prove reliably that the impermissible coolant and fuel element temperatures will not be realized at any reactor operational regimes. Specific features of heat transfer problems in modern reactor technology are defined with core arrangement, which for the most of power liquid cooled reactors is a set of assemblies of canned cylindrical fuel elements. The knowledge of the flow pattern and heat transfer rate is necessary for determination of the temperature distribution in such a complicated geometry. In compact cores it needs to account for the effect of the axial heat flux variations on the heat transfer coefficient. These problems are considered in the paper. 2. TRANSPORT PROCF,SSI?S IN 'I'URfUJLENI' FLOW The motion of fluids in nuclear reactors is turbulent. Theoretical study of the processes occurring in turbulent flows is very complicated.-Due to irregularity of turbulent motions it is desirable to applicate statistical methods. However, the realization of such an approach in all details is very difficult. Therefore,in practice semi-empirical phenomenological theories are used. The object of these theories is to find some relations between mean and fluctuating parts of the motion. On Prandtl's mixing-length theory the velocity pulsations in a flat channel can be presented as ul,lyaU, y where ly - is a characteristic distance passed by the pulsations. Let us derive a more exact formulation of Prandtl's hypothesis. Introducing the suitable Green functions, we can write the equations of motion for the turbulent fluctuations aui a ul aUi t + Uk axi +4- (9 axk = I 02 Uz P a + " ' + X (uilu - ui u1) (1) ax a k k Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 That Green's function is determined by the following equation avo +(UV) Vo - vAVo =- a(r - r )a (t -tl) (2) with the corresponding boundary conditions. The function Vo describes the velocity distribution in liquid flow under an instantaneous local disturbance. Then equations (1) can be written as 1 u1(~ , t) = f Vo (r, r 1, t, tl) [ p a xi Such a form of Eq uk aU; (ui ul - ui uk)] do 1dtl (3) axk ax}i (1) permits an iteration method to be applied. To obtain the first approxima- Lion formulas we may neglect in Eq. (3) all nonlinear terms and the pressure pulsations. Then t ui (r, t) = f ukl di Vo (r axk T 1, t, t1) dF 1 dtl (4) Provided the width of the region, where the probability Vo is not zero, is small compared with that one, where significant change of the mean velocity occurs, Eq. (4) can be simplified. Expanding the mean velocity gradient into a Taylor series near the point c and limiting to two series terms, we obtain the approximate formulae for the velocity fluctuations ul (r, t) aui juk (r 1, tl)V0(r,r it, tl)dr ldtl + a2111 jir -r l eu l(r 1, tl)Vo(?, rl,t,tl)drldtl axk axk axe k (5) In the turbulent core near the flow symmetry axis the first mean velocity derivatives are small. Therefore the velocity pulsational components are determined by the second items in Eq.(5), i.e. are dependent upon Lite second mean velocity derivatives. Conversely, far from the flow sym- metry axis the first items of the equation are large. In this region ul (r,t) l full (r 1, ti) Vo (-r -r 1,t,tl)d-Jr 1dt1 lk a x aUt (6) k axk Note, that the quantity 1(k' t) = juk (i-tl) Vo (T 1, t, tl) dr l dtl has the length dimension and represents the width of the region which is a velocity pulsation "supplier". To improve Green's function we must take into account the turbulent diffusion of the velocity fluctuations. Using these relations and determining the pulsational diffusion coefficient by means of the equality 326 -2- Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 ui Ul - J uk l) _ aul axk we may introduc the new Green function by means of the equation aV -8 (r -rl)8(t-t1) Then the second approximation velocity pulsation formulae are a Ui u. 1 (r , t) = 1 f a ? xk (7) (8) uk (r 1, tl) V (7,71, t, t1)dr 1 dt1 (9) As above, the velosity fluctuations in the region not far from the wall equal uk (r , t) aUi f ul (r 1, t1) V (7, 71,t,t1) dr 1dt' (10) k Using this expression the turbulent stress tensor components can be calculated u~ u i = lim 1 ax k 1 _f ul (r ,t)dt fuk(7 t') V (r,71, t, t1) dr 1 dt1 (11) v Since Green's function is dependent on the difference r = t - t 1 only, relation (11) can be written in the more convenient form 1 U. U. 1im a k ~rdr L fu~(7,t)dt fu 1(r 1,t-r)V(7,r1,r)d71= 1 ] ax d 2v -v k aUi axk f drf u~(r,t)uk(7 l,t - r) V (7, c 1, r)d71 = aUioo T aUi ax f Kj k(r , r) dr = vjk- ax k k Lagrange coordinate system the function v(-r, r) approximately equals v r e-kr, where k = - \ T L / , a is constant, e is a characteristic dimension of the region. e2 326 -3- (12) The factor?v~k ( e) _ f Kok (r , r) dr is the component of the eddy diffusivity tensor. In the 0 Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 Then for homogeneous isotropic turbulence may be written as the eddy diffusivity of momentum ?`l' f u1(t)u1(t - r)e-krdr (13) This expression correlates with Taylor's determination of the turbulent diffusion coefficient [1, 2]. Similarly using the equations for the temperature fluctuations aT1 +Uk aT1 - +uk aT =a d2 T1 + a (ujT1 -ukT1) at aXk axk ax axk (14) and introducing temperature Green's function by means of the equation (3 to +(UV)Wo -aAWo=-S(1 -ri)6(t - ti) (15) we can obtain the integral equations for the temperature fluctuations in the following form Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 T1(r,t)=fW ( r , r 1,t,t1) [uI aT C1 - (u1T1 - ul TI)dr ldtl (16) o k d xk axk k k In the first approximation Ti (r t) = j uk a T % (r 1, t, ti) dr ldti (17) k or with the same assumptions, which have been used in deriving of formula (5) T1(r,t)= ~T fuk(F 1,t1)W0(r , r i,t,ti)dr ldtl + +a2T fIF - r 11eu1(r 1,t1)Wo(F, r 1,t,tl)de 1dt1 k axkaxe In the region not far from the wall T1 (= ,t)= a k f u (r,l t1) ( r - , ,F1,t,t1)dr idtl=a kk .lk(r,t) (18) where I k (F , t) is an analog of the mixing-length for the temperature pulsations. Just as in equality (7) it can be approximately accounted for the turbulent diffusion of the temperature pulsations by means of introducing the turbulent diffusion coefficient 326 -4- Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 Approved For Release 2009/08/17: CIA-RDP88-00904R000100100027-1 'j' u