On Sat, Dec 10, 2011 at 10:36 AM, Alex Naysmith <yeoman.pyt...@gmail.com>wrote:
> Hello,
>
> I'm trying to plot the stresses in colour of a strained isoparametric
> element.
>
> I have a six noded triangle with vertice coordinates
> [(xa1,ya1),(xa2,ya2),(xa3,ya3)] = pos_a
>
> This triangle deforms and the new coordinate positions are
> [(xb1,yb1),(xa2,yb2),(xb3,yb3)] = pos_b
>
> The remaining nodes are mid nodes also with rest and deformed coordinate
> positions.
>
> To plot the edges of the triangle I use a Jacobian transformation function
> so that the coordinates of the triangle are in Jacobian coordinates xi1 and
> xi2 (with xi3 = 1 - xi1 - xi2). This is required as the elements are
> quadratic with mid-nodes.
>
> Each interval is hard coded so that:
> xi1 = [1.0,0.9,0.8,0.7,0.6,0.5, etc..]
> xi2 = [0.0,0.1,0.2,0.3,0.4,0.5, etc..]
>
> I would like to plot the strains in colour so that the interior of the
> triangle is filled but I don't want to hard code the Jacobian intervals as
> this seems an awkward way of doing it.
>
> With strain as a function of xi1 and xi2, How can matplotlib provide a
> continuous interior strain plot of the triangle for all the xi1 and xi2
> values from 0 to 1?
>
> Regards
>
> Alex Naysmith
>
>
Alex,
Perhaps if you can provide an example figure, we might be able to better
help you. Right now, I am having trouble envisioning what you describe.
Ben Root
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