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DAVID SIRAJUDDIN UNIVERSITY OF WISCONSIN - MADISON DEPT. OF NUCLEAR ENGINEERING AND ENGINEERING PHYSICS NEEP 705 – ADVANCED REACTOR THEORY, DR. DOUGLASS.

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Presentation on theme: "DAVID SIRAJUDDIN UNIVERSITY OF WISCONSIN - MADISON DEPT. OF NUCLEAR ENGINEERING AND ENGINEERING PHYSICS NEEP 705 – ADVANCED REACTOR THEORY, DR. DOUGLASS."— Presentation transcript:

1 DAVID SIRAJUDDIN UNIVERSITY OF WISCONSIN - MADISON DEPT. OF NUCLEAR ENGINEERING AND ENGINEERING PHYSICS NEEP 705 – ADVANCED REACTOR THEORY, DR. DOUGLASS L. HENDERSON FINAL PRESENTATION DECEMBER 17, 2010 Variational Methods Applied to the Even- Parity Transport Equation

2 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

3 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

4 Motivation Computational methods of the raw form of the integrodifferential form of the transport equation are most readily facilitated by:  Discrete ordinates  Integral equations (e.g. collision probability methods) These methods can become computationally expensive  Discrete ordinates  Ray-effects  many discrete ordinates must be used  Marching scheme, diamond differencing  iterative solution  Integral equations  iterating on a scattering source  solving matrix equations with a full coefficient matrices  Scattering source approximation  method only accurate up to order O(  )  detrimental for large system size calculations Computational expense may be reduced by recasting the transport equation into a variational form   even-parity transport equation   gives rise to a variety of approximation techniques   solution requires solving a single matrix equation with sparse coefficient matrices Itcanbeshown.comSirajuddin, David

5 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

6 Development of the even-parity transport equation Transport equation: Boundary conditions Define even/odd angular-parity components Itcanbeshown.comSirajuddin, David (even) (odd)

7 Development of the even-parity transport equation The angular flux is defined in terms of the even/odd parity fluxes where and Scalar flux Current Itcanbeshown.comSirajuddin, David

8 Development of the even-parity transport equation The even-parity equation is arrived at by considering the transport equation evaluated at  and -  Recalling, subtracting both equations allows a relation between  - and  +  and, by definition  Itcanbeshown.comSirajuddin, David Calculation of the even-parity flux allows the computation of the scalar flux and the current!

9 Development of the even-parity transport equation The even-parity equation is arrived at by considering the transport equation evaluated at  and -  Adding and subtracting the above equations produces two new equations that may be combined to eliminate  - Itcanbeshown.comSirajuddin, David Even-parity transport equation (isotropic scattering)

10 Remarks on the even-parity transport equation Even-parity transport equation Even-parity  only need to solve half the angular domain Isotropic scattering Cannot be used directly for streaming particles in vacuum (  = 0) Underdense materials (  small)  must check computational algorithm is stable The equation is self-adjoint  variational extremum principle Itcanbeshown.comSirajuddin, David

11 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

12 Theory of Calculus of Variations Variational methods aim to optimize functionals:  Function:, while a functional:  These functionals are often manifest as relevant integrals  Examples: minimum energy, Fermat’s principle, geodesics  Method:  Find an appropriate functional that characterizes  +  Introduce a trial function  + +   Enforce  = 0   + Itcanbeshown.comSirajuddin, David

13 Theory of Calculus of Variations: Vladimirov’s functional  + is characterized by the even-parity transport eqn. A relevant functional F[  +] may be computed by the inner product from the self-adjoint extension of the transport operator [2] Itcanbeshown.comSirajuddin, David

14 Theory of Calculus of Variations: Stationary solutions Model as Inputting into the above functional  (after much algebra) the terms may be grouped according to Where the zeroeth, first, and second variations depend on, (or ), and, respectively Itcanbeshown.comSirajuddin, David “first variation” “variation” “second variation”“zeroeth variation”

15 Theory of Calculus of Variations: Stationary solutions The first variation: Stationary solutions,, require Itcanbeshown.comSirajuddin, David “first variation”

16 Examine term-by-term Itcanbeshown.comSirajuddin, David Theory of Calculus of Variations: Stationary solutions

17 Each term must independently vanish Examine term-by-term Itcanbeshown.comSirajuddin, David Theory of Calculus of Variations: Stationary solutions

18 Examine term-by-term Recall Term 1 vanishes if is a solution to the even- parity transport equation. This is called our Euler-Lagrange Equation Itcanbeshown.comSirajuddin, David Theory of Calculus of Variations: Stationary solutions

19 Examine term-by-term Itcanbeshown.comSirajuddin, David Theory of Calculus of Variations: Stationary solutions

20 Examine term-by-term must satisfy the vacuum boundary condition Or, equivalently,, Itcanbeshown.comSirajuddin, David Theory of Calculus of Variations: Stationary solutions Modified natural boundary condition

21 Examine term-by-term Itcanbeshown.comSirajuddin, David Theory of Calculus of Variations: Stationary solutions

22 Examine term-by-term  require no variation = 0  or, on the reflected surface Itcanbeshown.comSirajuddin, David Theory of Calculus of Variations: Stationary solutions Essential Boundary Condition Modified natural boundary condition (slab geometry)

23 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

24 Solution of the variation problem: Ritz procedure Suppose we approximate the flux: Where are known even-parity shape functions,, and are unknown coefficients Inputting the approximation into the functional dsafd, and enforcing  a matrix equation whose solution gives the coefficients Itcanbeshown.comSirajuddin, David

25 Solution of the variation problem: Ritz procedure Recasting in terms of matrices Define,  Inserting into the Vladimirov functional: where Itcanbeshown.comSirajuddin, David and

26 Note that is an N x N symmetric matrix, since And : N x 1 column vector : 1 x N row vector : N x N symmetric matrix : N x N symmetrix matrix Itcanbeshown.comSirajuddin, David Solution of the variation problem: Ritz procedure

27 Introducing a variation in the trial function  Where, stationary solutions then imply This general procedure is the basis for our solution strategy Itcanbeshown.comSirajuddin, David Solution of the variation problem: Ritz procedure

28 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

29 1-D slab methods Slab geometry: Isotropic source distribution: S(x) Reflective boundary at x = 0 Vacuum boundary at x = a The functional Then becomes Itcanbeshown.comSirajuddin, David

30 1-D slab methods And  Itcanbeshown.comSirajuddin, David 3-D1-D

31 1-D slab methods Translating the boundary conditions to 1-D Itcanbeshown.comSirajuddin, David 3-D1-D

32 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

33 1-D methods: spatial discretization A spatial mesh is designated Each interval x j < x < x j+1 is a finite element. To discretize, segment the independent variables according to Where the  j approximate  (x j,  ), and the h j are shape functions that span the finite the width of one finite element. i.e. Itcanbeshown.comSirajuddin, David [1]

34 1-D methods: spatial discretization Linear piecewise trial functions are used for h j (x) Itcanbeshown.comSirajuddin, David x ≤ x j-1 x j-1 ≤ x ≤ x j x j ≤ x ≤ x j+1 x j+1 < x

35 1-D methods: spatial discretization Inserting into the functional gives Where Itcanbeshown.comSirajuddin, David

36 1-D methods: spatial discretization Inserting into the functional gives Where Itcanbeshown.comSirajuddin, David Each term involves a product of basis Recall,  only neighboring finite elements Are nonzero  A and B are N x N tridiagonal symmetric matrices

37 1-D methods: spatial discretization Introducing a variation in the trial function into the functional And enforcing stationary solutions gives a single matrix equation A number of angular discretization methods may henceforth be employed to facilitate a solution Itcanbeshown.comSirajuddin, David

38 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

39 1-D methods: Angular discretization The angular dependence may be handled in a number of ways  Discrete ordinates  Collision probability methods (integral equations)  Legendre polynomials Itcanbeshown.comSirajuddin, David

40 1-D methods: Angular discretization The angular dependence may be handled in a number of ways  Discrete ordinates  Collision probability methods (integral equations)  Legendre polynomials Itcanbeshown.comSirajuddin, David

41 Angular discretization: discrete ordinates Beginning with the result of the spatial discretization N/2 discrete ordinates are imposed where the scalar flux may be approximated by a suitable quadrature rule The solution may be obtained by iterating on the scattering source The solution requires solving N/2 tridiagonal matrix equations due to evenness of the flux function, while the discrete ordinates equations require N tridiagonal matrix equation solutions at each step Itcanbeshown.comSirajuddin, David

42 1-D methods: Angular discretization The angular dependence may be handled in a number of ways  Discrete ordinates  Collision probability methods (integral equations)  Legendre polynomials Itcanbeshown.comSirajuddin, David

43 Angular discretization: integral equations Beginning again with the result of the spatial discretization Isolating the angular flux and integrating over angle:  Itcanbeshown.comSirajuddin, David

44 Angular discretization: integral equations Note the similarities Collision probabilty method is of order , even-parity method is order   Both have nonsymmetric, dense coefficient matrices Collision method requires analytic integration over kernels, even-parity could use quadrature rules Itcanbeshown.comSirajuddin, David Collision Probability Method Even-parity integral equations

45 1-D methods: Angular discretization The angular dependence may be handled in a number of ways  Discrete ordinates  Collision probability methods (integral equations)  Legendre polynomials Itcanbeshown.comSirajuddin, David

46 Angular discretization: legendre polynomial expansion In addition to the spatial discretization all ready performed, the angular domain is discretized by a family of known even-parity angular basis functions (e.g. even-order Legendre polynomials) Consider first the angular domain Inserting this into our functional, the following is retrieved Itcanbeshown.comSirajuddin, David

47 Angular discretization: legendre polynomial expansion Where i.e. the angular dependence is contained it these terms Itcanbeshown.comSirajuddin, David

48 Angular discretization: legendre polynomial expansion Enforcing stationary solutions with respect to a variation in the flux gives the spatial Euler-Lagrange operator Which operates on the spatial dependence of the flux giving Itcanbeshown.comSirajuddin, David where

49 Remarks on the even-parity transport equation Writing out the functional shows stationary solutions of the angular flux require solving The zeroeth moment corresponds to the scalar flux  {  j } 1 =  (x j ) Itcanbeshown.comSirajuddin, David

50 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

51 Conclusions A variational formalism may be used as a basis for developing algorithms on the neutron transport equation  Discrete ordinates  Integral transport  Legendre polynomial expansion The even-parity transport equation was shown to facilitate matrix equations that involved sparse coefficient matrices in certain cases (discrete ordinates, legendre polynomial expansion) Discrete ordinates:  Both possess order D2 accuracy  The variational structure allowed for the solution of only N/2 tridiagonal matrix equations at each iteration, while the discrete ordinates demanded N tridiagonal matrix equation solution.  Discrete ordinates equations involve lower triangular matrices  easier to solve. Integral transport  A similar set of integral equations was arrived at with variational methods as was found in collision probability methods.  Collision probability methods are of order D, while variational approaches allow accuracy of order D2  Collision probability methods suffer in accuracy for large systems due to the source approximation, while variational methods may be adapted to fit the needed accuracy Itcanbeshown.comSirajuddin, David

52 Conclusions Legendre polynomial expansions  Both the PN equations and the variational method allow for a diffusion approximation solution involving tridiagonal coefficient matrices.  Higher order PN equations require iterative solutions, higher order variational equations involve more dense matrices The methods presented pertained to isotropic scattering and one-dimension. Anisotropic scattering has also been worked into variational formulations, and algorithms have been to two-dimensions with a variety of finite element types, however the treatment is more involved. Itcanbeshown.comSirajuddin, David

53 Outline Motivation Development of the even-parity transport equation Variational concepts Ritz Procedure Statement of the variational problem 1-D slab transport  Spatial discretization  Angular treatment  Discrete Ordinates  Collision probability method  Legendre polynomial expansion Conclusions References Itcanbeshown.comSirajuddin, David

54 References Lewis, E.E. and Miller, W.F. Jr. Computational Methods of Neutron Transport. Wiley-Interscience. January Itcanbeshown.comSirajuddin, David

55 Additional Slides Vacuum boundary condition Subtracting both equations, and using the definitions  , Itcanbeshown.comSirajuddin, David


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