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AerE 546 Lecture 15 Equations on curvilinear grids: “metric” tensor

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Recall 2-surface method. Grid lines are curved; can use finite diff or finite vol. Former here; will be lectures on latter, but FYI. Actually, grid is a set of points organized into cells. Equations on curvilinear grids: “metric” tensor A. Computational and physical space Grid is not in x-y direction: Grid generation produces [x(i,j),y(i,j)]. Now use that to solve equations. Map from computational to physical. Think of i,j as a grid in ξ - η space. For example δf/δξ = (f(i+1,j)-f(i-1,j))/(ξ(i+1,j)-ξ(i-1,j)) = (f(i+1,j)-f(i-1,j))/2 Data values of f are stored at i,j, so they are defined in computational space. Need mapping from physical to computational; but only local (differential geometry; hence term `metricʼ is used). · · · x,y A

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AERE 546
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AERE 546

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AerE 546 % Lecture 15


Recall 2-surface method. Grid lines are curved; can
use finite diff or finite vol. Former here; will be
lectures on latter, but FYI. Actually, grid is a set of
points organized into cells.



Equations on curvilinear grids: “metric” tensor

A. Computational and physical space




Grid is not in x-y direction:

·
·
·

x,y
Grid generation produces [x(i,j),y(i,j)]. Now use that to solve equations. Map from
computational to physical. Think of i,j as a grid in ξ - η space. For example

δf/δξ = (f(i+1,j)-f(i-1,j))/(ξ(i+1,j)-ξ(i-1,j)) = (f(i+1,j)-f(i-1,j))/2

Data values of f are stored at i,j, so they are defined in computational space.
Need mapping from physical to computational; but only local (differential geometry;
hence term `metricʼ is used).



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