NE 255 - Numerical Simulation in Radiation Transport

Fall 2008
Prof. Jasmina Vujic
(vujic@maxwell.berkeley.edu)

TuTh 11:00 - 12:30 am, 237 Cory Hall
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Grading:        Homework      40%;  Midterm      30% ; Final Project      30%, Extra work    15%
Course Description
On-Line Resources


Upadated December 2, 2008

Week/
Lecture
date Topic Chapter in Textbook
I/1 Aug 28
Introduction. Organization. Overview of Computational Science/Engineering. A Brief History of Computer Technology and Architecture.
Handouts 1
II/2 Sep 2
Types of equations  in radiation transport. General types of differential and integral equations. Integro-differential form of transport equation. Integral form of transport equation. Definitions of neutron number density, neutron flux and current. Handouts 2
II/3 Sep 4
Derivation of neutron transport equation in integro-differential form. Initial and Boundary Conditions. Simplified forms of neutron transport equation.
Handouts 3

III/4 Sep 9
Review of Numerical Simulations: Deterministic and Probabilistic Methods. Numerical solution of neutron transport/diffusion equation - discretization in time, energy, angle and space. Handouts 4

III/5 Sep 11 Introduction to the MCNP code.  MCNP input and output description. Simple Monte Carlo problems. Examples. (Max Fratoni)

Handouts 5
MCNP Input Manual
IV/6
Sep 16
Ranning MCNP in parallel mode. Introduction to MOCUP: The time dependent Monte Carlo calculationsDiscussion about MCNP/MOCUP results. (Max Fratoni)
Handouts 6

IV/7
Sep 18
Adjoint transport equation and its aplications. (Ehud Greenspan)
Handouts 7
V/8 Sep 23
Neutron Transport Equation in 1D: Numerical Solution of Integro-Differential Equation. Spatial discretization in slab geometry: diamond-difference, step-difference,  step characteristic methods. Handouts 8
HW 1 due
V/9 Sep 25 Angular discretization: Discrete-ordinates (Sn) method. Some Sn Gauss-Legendre quadrature sets. Solution of fixed-source problems with and without scattering Handouts 9
VI/10 Sep 30
Iterative methods for solving discretized equations. Source iteration for k-eigenvalue problems. Convergence of source iteration method. Multigroup Sn problems. Handouts 10
VI/11 Oct 2
Multidimensional discrete ordinates (Sn) methods (angular quadrants, ray effects, streaming effects). Multigroup discrete ordinates method. Discrete-ordinates computer codes.
Angular discretization: Pn method.
Handouts 11
HW 2 due
VII/12 Oct 7
Dearivation of Neutron Diffusion Equation in 3D. Neutron Diffusion Equation in 1D: Numerical Solution of the 2nd Order ODE. 
Handouts 12
VII/13 Oct 9
Neutron Diffusion Equation in 1D: Formulation of the finite difference equations for the "fixed source" problem. Direct solution by Gaussian elimination. Iterative solutions by Jacobi, Gauss-Seidel and SOR Methods. Formulation of the finite difference equation for the "eigenvalue (criticality)" problem.
(Mathieu Hursin)
Handouts 14
HW 3 due
VIII/14 Oct 14 MIDTERM (Mathieu Hursin)


VIII/15 Oct 16  Power and "inverse" power iterative method. Krylov methods for iterative solution of linear systems.  (Mathieu Hursin) Handouts 15
IX/16 Oct 21
Formulation of the finite difference equations in 2D. Formulation of finite element equations in 1D.
Handouts 16
Handouts 16a
IX/17 Oct 23
Preliminari Project Presentations (5-10 min)
X/18 Oct 28
Monte Carlo Method: Continuous and discrete probability distribution.  Probability density function. Cumulative probability distribution function.
Random numbers. Categories of random sampling. Analog Monte Carlo. Nonanalog Monte Carlo. Importance sampling. Variance reduction methods. 
Handouts 18
X/19 Oct 30
 Examples of sampling from a given distributions.
Monte Carlo simulation of neutron transport. Sampling of the position, direction, distance to collision, typeo of collision,...
Handouts 19
RNUM
HW 4 due
XI/20 Nov 4
Complex geometry description and ray tracing.  Error estimates.
All-particle Monte Carlo simulation. Vector and parallel Monte Carlo simulations.
Handouts 20
MC-Parallel
XI/21 Nov 6
Monte Carlo simulation of neutron transport. Sampling of the position, direction, distance to collision, typeo of collision,...Sampling of energy and angle in Compton scattering.
Definitions of true and sample mean, variance, standard deviation. Central limit theorem. Collision and tracklenght estimators for flux calculation.
Handouts 21
Compton Scattering

XII Nov 11
Veterans Day Holiday

XII/22 Nov 13
Derivation of Method of Characteristics in two dimensions. Choice of angles. Choice of Boundary Conditions. (Mathieu Hursin) Handouts 22
XIII/23 Nov 18
Derivation of neutron transport equation in integral form. Derivation of adjoint transport equation. Handouts 23
XIII/24 Nov 20
Method of Characteristics in three dimensions. MOC codes. Approximation methods for solving 3D MOC problems. Applications of the DeCART MOC code. (Mathieu Hursin)

Handouts 24
XIV/25 Nov 25
Solving integral form of neutron transport equation. Collision probality method. Derivation of collision probability equations in 2D and 3D. Handouts 22
Handouts 25
HW 5 due
XV/26 Dec 2
Diffusion theory codes. Application of PARCS to the LWRs and HTRs. (Mathieu Hursin) Handouts 26
XV/27 Dec 4
Project presentations

XVI/28 Dec 9
Project presentations

Dec 10
Extra Homework due


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