Structured Grid Generation
Instructor: Patrick Knupp, Ph.D.
Audience: Contains mostly beginning/intermediate material.
1. Mappings and Invertibility.
The idea of a mapping from a logical to physical domain
will be discussed. Discretization of the mapping produces
a structured grid. Maps should be invertible to preserve
PDE type.
2. Transfinite Interpolation.
Mappings can be constructed by an algebraic grid generation
technique known as transfinite interpolation. Lagrange and
Hermite interpolation techniques will be described.
Advantages and disadvantages of this technique will be given.
3. Grid Quality
The idea of grid quality will be introduced. The importance
of properties such as smoothness, orthogonality, skewness,
and volume will be presented.
4. Application to Numerical PDE's
Finite volume and finite difference methods use structured
grids to numerically solve partial differential equations
on complex geometries. To do so requires transformation
of the PDE to curvilinear coordinates. An overview of
the transformation procedure is given.
5. One-dimensional grid generation
One-dimensional grid generation will be used as an example
to introduce basic ideas in grid generation such as grid
generation PDE's, optimization, and variational techniques.
6. Connections to Differential Geometry
To understand grid generation techniques in higher dimensions
requires knowledge of basic differential geometry. Tangents,
normals, and curvature will be discussed, along with the
Jacobian matrix and Metric Tensor.
7. Planar Grid Generation
Basic approaches to two-dimensional grid generation, such as
algebraic, conformal mapping, elliptic, and hyperbolic, will
be presented.
8. Variational Grid Generation
Powerful grid smoothing and adaptive methods can be derived
by posing variational principles involving grid quality
measures. The mathematical machinery used in this approach
will be described.
9. Curve and Surface Grid Generation
Curves and surfaces introduce an additional level of difficulty
into the techiniques of structured grid generation. Basic
differential relationships on curves and surfaces will be
introduced to show how simple curve and surface generators
can be derived.
10. Adaptive Grid Generation
Adaptive grid generation goals and procedures are described
in terms of the three basic types of adaptive grid generation.
The node movement strategy of Anderson will be used as an
illustration.
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