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Discrete adjoint gradients with custom parameterization |
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July 13, 2020, 13:09 |
Discrete adjoint gradients with custom parameterization
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#1 |
New Member
Andrew
Join Date: Mar 2015
Posts: 5
Rep Power: 11 |
Hello,
My geometry is parameterized externally, and I have the corresponding grid velocities on the surface mesh, but I can't get the discrete adjoint solver to compute gradients using these external grid velocities. I set DV_KIND='SURFACE_FILE' and DV_SENS_FILENAME equal to the grid velocity filename (surface coordinates and x,y,z displacements corresponding to each DV), but that didn't seem to do what I want, as it always defaults to one Hicks Henne bump. Is what I'm trying to do possible in SU2 6.2.0 (or newer)? If so, what am I doing wrong? Thanks. |
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July 19, 2020, 11:15 |
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#2 |
New Member
Zhenkai Zhang
Join Date: Oct 2019
Posts: 3
Rep Power: 7 |
Hi, Andrew,
Form my knowledge, if you are using an external shape parameterization method, and want to deform the mesh by using SU2_DEF, you can set as following parameters: DV_KIND=SURFACE_FILE DV_MARKER=( airfoil ) DV_PARAM=( 1.0 ) DV_FILENAME= surface_file.dat wherein the surface_file.dat, the format is GlobalID_0, x_0, y_0, z_0 GlobalID_1, x_1, y_1, z_1 ... GlobalID_N, x_N, y_N, z_N where N is the total number of vertices on all moving markers, and x/y/z are the new position of each vertex. Points can be in any order. However, I am sorry about, I have no idea how to set DV_SENS_FILENAME. At last, please remember to delete all the keywords about 'OPTIMAL SHAPE DESIGN DEFINITION'. As you are not asking the python optimization algorithm finding the optimal results. Hope the given information is helpful. Best |
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