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Title of Thesis
AN ADAPTIVE FINITE ELEMENT FORMULATION OF THE BOLTZMANN-TYPE NEUTRON TRANSPORT EQUATION |
Author(s)
Shaukat Iqbal |
Institute/University/Department Details
Faculty of Computer Sciences and Engineering/ Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi |
Session
2007 |
Subject
Computer Sciences and Engineering |
Number of Pages
154 |
Keywords (Extracted from title, table of contents and abstract of thesis)
boltzmann-type neutron transport equation, even parity boltzmann transport equation, finite elements, neutron angular flux, legendre expansion, scattering kernel, least squares approach, odd parity flux, even parity flux |
Abstract Adaptive grid refinement strategies have been formulated to solve the even parity Boltzmann transport equation. The application of continuous and discontinuous finite elements for approximating the spatial dependence of neutron angular flux along with the use of spherical harmonics for directional representation was investigated for some novel neutron transport problems. The study of the conventional variational approaches employing finite elements for solving neutron transport equation has shown that such schemes only ensure a global particle balance over the whole system. Adaptive finite elements have been found to be superior not only in enforcing local particle conservation but also in being more suitable for modelling abrupt changes in angular flux. A residual based a posteriori error estimation scheme has been utilized for checking the approximate solutions for various finite element grids. The local particle balance has been considered as an error assessment criterion. To implement the adaptive approach, a computer program has been developed to solve the second order even parity Boltzmann transport equation 'using variational principles for different geometries. The program has a core module, which employs Lagrange polynomials as spatial basis functions for the finite element formulation and Legendre polynomials for the directional dependence of the solution. The core module is called in by the adaptive grid generator to determine local gradients and residuals to explore the possibility of grid refinements in appropriate regions of the problem. The a posteriori error estimation scheme has been implemented in the outer grid refining iteration module. Numerical experiments indicate that local errors are large in regions where the flux gradients are large. A comparison of the spatially adaptive grid refinement approach with that of uniform meshing approach for various benchmark cases, confirms its superiority in greatly enhancing the accuracy of the solution without increasing the number of unknown coefficients. This scheme is then combined with a discontinuous finite element based composite scheme. This has given the added advantage of automatically generating the orders of angular approximations to be used in different elements/regions in the method of composite solutions. A reduction in the local errors of the order of 102 has been achieved using the new approach in some cases
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| S. No. |
Chapter |
Title of the Chapters |
Page |
Size (KB) |
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| 1 |
0 |
Contents |
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 187.82 KB |
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| 2 |
1 |
Introduction |
18 |
 145.78 KB |
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1.1 |
The Importance Of Numerical Methods |
18 |
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1.2 |
Finite Element Method In Neutron Transport |
21 |
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1.3 |
Mesh Adaptivity |
24 |
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1.4 |
Motivation Of The Work |
27 |
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1.5 |
Contribution To The Work |
28 |
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1.6 |
Layout Of Thesis |
29 |
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| 3 |
2 |
Transport Theory |
31 |
 231.39 KB |
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2.1 |
Introduction |
31 |
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2.2 |
Introductory Definitions |
32 |
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2.3 |
Derivation Of Particle Transport Equation |
37 |
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2.4 |
Neutron Transport Equation |
41 |
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2.5 |
Boundary Conditions |
42 |
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2.6 |
Legendre Expansion Of The Scattering Kernel |
44 |
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2.7 |
Second Order From Of The Transport Equation |
45 |
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| 4 |
3 |
Variational Treatment Of The Boltzmann Transport Equation |
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 186.01 KB |
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3.1 |
Need For A Generalized Least Squares Approach |
49 |
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3.2 |
Generalized Least Squares Approach |
50 |
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3.3 |
A Generalized Least Squares Identity For The First Order Boltzmann Equation |
50 |
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3.4 |
Measures Of Errors Of Approximate Solutions |
52 |
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3.5 |
Least-Squares Functionals |
55 |
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3.6 |
Variational Principles Admitting Continuous Trial Functions |
58 |
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3.7 |
Variational Principles Admitting Discontinuous Trial Functions |
61 |
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3.8 |
The Role Of The Penalty Parameter Λ |
63 |
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| 5 |
4 |
Finite Elements Formulation |
65 |
 468.6 KB |
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4.1 |
Introduction |
65 |
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4.2 |
Trial Functions For Directional Dependence Of The Angular Flux |
66 |
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4.3 |
Finite Element Trial Functions For Spatial Domain |
69 |
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4.4 |
Even And Odd Parity Trial Functions |
75 |
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4.5 |
The Discretized Functionals |
76 |
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4.6 |
Derivation Of Odd Parity Flux From Even Parity Flux |
89 |
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4.7 |
Derivation Of Even Parity Flux From Odd Parity Flux |
89 |
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4.8 |
Determination Of Integral Quantities Of Interest |
90 |
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| 6 |
5 |
Adaptive Finite Element Approach |
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 323.52 KB |
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5.1 |
Error Estimation |
92 |
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5.2 |
Adaptive Strategies |
94 |
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5.3 |
A Posteriori Error Estimates For Adaptive Grid Refinement Approaches |
97 |
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5.4 |
Computational Aspects And Implementation |
99 |
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5.5 |
Numerical Results And Discussion |
101 |
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| 7 |
6 |
Development Of A Combined Approaches For Spatial Mesh And Angular Approximation Adaptivity |
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 451.95 KB |
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6.1 |
Introduction |
111 |
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6.2 |
Composite Solution Case Studies |
113 |
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6.3 |
Adaptive Construction Of Composite Solutions |
128 |
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6.4 |
Numerical Case Studies For Adaptive Composite Approach |
130 |
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| 8 |
7 |
Conclusions And Future Recommendations |
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 45.86 KB |
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7.1 |
Conclusions |
136 |
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7.2 |
Future Recommendations |
138 |
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| 9 |
8 |
References |
140 |
 159.86 KB |
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8.1 |
Appendix |
151 |
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