Hello Paraview Forum,
I’m looking for a possibility to perform cell-wise volume integration of Finite Element Method stress results. Consider, the 3D principal stress field is point-wise available for a given geometry. Now I want to calculate the volume integral cell-wise for example of the maximum principle stress S_Max: Integral(S_Max) over individual cell volume dV_Cell so in the end I have the volume integral for each cell of the given geometry.
Does anybody know how this can be accomplished in Paraview? I was not able to do it with “IntegrateVariable” filter. I have to say that I’m not a Paraview expert, so please apologize my limited ability in this context
Welcome to the ParaView discourse! Thanks for posting your problem.
Indeed, I couldn’t find one single filter that integrates the scalar field cell by cell and retains it as a cell field. However, if your field uses linear basis functions and your mesh is comprised of tetrahedra, then I believe that the integral per cell should be the average value of the nodes comprising the cell multiplied by the volume of the cell.
Using that formula, you can use the following workflow:
Use the “Point To Cell Data” filter to perform an average of your values cell-wise
Use the “Cell Size” filter to compute your cell volumes
Use a “Calculator” filter to multiply your averaged value cell field with your volume field
The resulting cell field should have the value of your scalar integrated in each cell provided my initial hypotheses were correct.
I followed your instruction to use integrate variables to calculate the volume of a tetrahedron mesh, but wrong results are calculated. The volume is even not positive.
I took a look at your data. The problem is that the windings on some of the tetrahedra in your mesh are wrong. That fouls up geometric operations on the cell such as volume and is causing the volume for those tetrahedra to be negative.
As is typical for any mesh representation, the VTK data set requires the vertices for a tetrahedron (or any other cell type) to be in a certain order. The correct order is shown in this figure.
If the vertices are placed in the correct order (the winding), you can look down at vertex 3 and you will find that vertices 0, 1, 2 will form a triangle in counterclockwise order.
This is rather hard to show, but there are many tetrahedra in the data you posted that have the vertices in the opposite order. In the following image, I have loaded your data, run the Cell Sizes filter, and then selected the cell with the minimum volume, which is negative. The point IDs of the vertices are (in order) 26, 38, 40, and 91. When you view the tetrahedron looking down at vertex 3 (91), the remaining vertices are in clockwise order, not counterclockwise order.
