[Paraview] stress tensors

Robert Maynard robertjmaynard at gmail.com
Mon Apr 14 13:14:49 EDT 2008


Sorry to derail the conversation, but is the numpy going to be bundled 
with paraview ( does this mean python will come with paraview too) or is 
it just going to be that if you have numpy currently installed, it will 
be imported?

> I don't think any of the tensor specific VTK algorithms are enabled by
> default in ParaView. Maybe there are some that wrote plugins out
> there. vtkTensorGlyph is probably a good starting point. Also, you can
> use the array calculator and the python programmable filter to
> calculate derived quantities. In the next version of ParaView, there
> will be support for calling numpy from the programmable filter. That
> would make it pretty easy to calculate some of the derived variables
> you are interested in.
>
> -berk
>
>
> On Mon, Apr 14, 2008 at 12:47 PM, Gertjan van Zwieten
> <gertjanvanzwieten at gmail.com> wrote:
>   
>> Hi all. I am new to paraview, and playing around a bit to see if it
>>  fits my needs. It looks good but I can use some help.
>>
>>  I have created a simple structured_grid vtk datafile, with deformation
>>  vectors as point_data and 3x3 stress tensors as cell_data. The
>>  deformation I can visualize by either coloring or a warp filter. But
>>  how to visualize the stress tensor? I can not find any tensor related
>>  options / filters - for instance, a way to compute maximum principle
>>  stresses (largest eigenvalue) or surface traction (stress times
>>  normal). What would be perfect is to make a clip or slice and
>>  visualize the traction at that plane as glyphs. Is something like that
>>  possible?
>>
>>  In the list archives I found a similar question [1] that was answered
>>  as "Everything you want to do (and more) to display finite element
>>  structural analysis results is available in ParaView." - without
>>  further explanation. Could someone please point me in the direction?
>>
>>  Gertjan
>>
>>  [1] http://www.paraview.org/pipermail/paraview/2005-March/001261.html
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