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XD II: Course Outline

Course Title:
"Multi-Scale Fluid Dynamics: Computational Methods"
Course Number:
ME7953-3, X-listed in MATH, PHYS, BIO, CSC
Prerequisites:
MATH2070 or MATH2090 or MATH2065+MATH2085 or equivalent; CSC1252 or equivalent
Text(s) & Readings:
TBA
Description

An introduction to computational methods that are employed across multiple disciplines to model complex fluid flows on a wide variety of scales. Topics to be covered include: Interpolation; numerical integration & differentiation; solution of ordinary differential equations (ODEs) and partial differential equations (PDEs). Techniques for solving PDEs of elliptic, parabolic, & hyperbolic form will be introduced with fluid-flow examples. Finite-difference (FDM), finite-volume (FVM), and finite-element (FEM) methods will be introduced along with computational frameworks that facilitate parallelization and access to GRID computing resources.

Throughout this course, example exercises will focus on the numerical solution of a set of governing mathematical equations that is common to fluid flow problems in a wide variety of physical and biological settings. The origin of these equations and the physical concepts that underpin them are discussed in a companion course, XD-I.

   
Schedule
 
Week
Topic Instructor
1
Course Introduction;
Numerical Interpolation
Taylor Series
Acharya
2
Numerical Integration & Differentiation;
Finite Differences
Order of Accuracy
Acharya
3
Solution of ODE's (Euler, A-M, A-B, & R-K);
Stability;
Stiff Systems
Allen
4
Solution of Elliptic Equations (U xx = f);
Discretization using Finite-Difference Method (FDM);
Boundary Conditions;
Accuracy, Stability and Consistency
Acharya
5
Matrix Representation;
Direct Solution of System of Equations (TDMA, LU Decomposition);
Iterative Solutions (Jacobi, Gauss-Seidel, SOR)
Acharya
6
Extension to 2D and 3D;
Solution of System of Equations
Acharya
7
Extension to Unsteady Elliptic Equation (U t = a U xx );
Accuracy and Stability;
Solution Strategies;
Boundary Conditions (including Cyclic Conditions);
Acharya
8
Finite-Volume Method (FVM), Finite-Element Method (FEM) and their Relationship to FDM;
FVM:
  • Descritization
  • Matrix Assembly
  • Solution Strategy
Bourdin
9
FEM:
  • Unstructured Grids
  • Matrix Assembly
  • Solution Strategy
Bourdin
10
First-Order Linear Hyperbolic Equations (U t + cU x = 0);
Discretization Strategies;
Numerical Properties (Stability, Accuracy and Consistency)
White
11
First-Order Non-Linear Hyperbolic Equations (U t + UU x = 0);
Discretization;
Matrix Linearization;
TVD Schemes
White
12
Burger's Equation (U t + cU x = cU xx );
Discretization Schemes
White
13
Parallelization and Framework Issues Allen
14
Survey Lectures on Multi-Grid, Pre-Conditioning, etc. Acharya

 


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07/13/2005:-
LSU one of only
20 institutions to
recieve a $3M
program award
from National
Science Foundation
Funding to support
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disciplinary
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