Hello, I am using Paraview to post-process unstructured CFD data from PyFR.
I would like to map the solution in an unstructured mesh (.vtu) onto another unstructured grid (.cgns) using the ResampleWithDataset filter.
As shown in the screenshot, I applied the Source Data as my unstructured solution (.vtu) and the Destination Mesh as my target structured grid (.cgns).
So the most of the data are interpolated correctly but the points close to surface only contain zero data arrays.
The original .vtu file contains high-order solution data from PyFR, so It has non-zero values near the wall.
Is there a known issue or limitation of ResampleWithDataset in this kind of case (high-order unstructured solution to another grid)?
How can I correctly obtain non-zero values near the surface on the target grid?
I have uploaded both the solution file (.vtu) and the target mesh (.cgns) to Google Drive (paraview - Google Drive)
Sorry — I initially uploaded the wrong CGNS file. That mesh contains only a cylindrical far field and no body geometry.
I have now re-uploaded the correct target mesh, resample2.cgns, which includes the ogive body geometry.
The issue (zeros near the surface after ResampleWithDataset) is still reproducible with this updated file.
Is there a known limitation/issue with ResampleWithDataset for this type of case (high-order unstructured solution from PyFR resampled onto another mesh)?
What is the recommended workflow/filter(s) to obtain non-zero near-wall values on the target grid?
As shown in the first figure, I applied the Pipeline in my Paraview 6.0.1.
The cylinder is the farfield boundary, and there is a missile-shaped geometry inside the domain.
When I resample the high-order unstructured solution(.vtu) onto my newly created target grid(.cgns), the solution is not interpolated correctly.
As in the second and third figures, among the surface cells on the target grid, some regions are mapped correctly, but other regions are completely empty (no values).
Also, as mentioned in my first question, when I see an x-direction slice(x=1.0, 2.0, …), the problem is not only on the surface: the resampling fails for several boundary layers of cells above the surface as well.
