Trouble in running discrete adjoint turbomachinery testcase

Xikii · May 14, 2024, 06:37

Nice to me you!

I'm totally beginer using SU2 for shape optimization, when I run the testcase 'disc_adj_turbomachinery/transonic_stator_2D returns: Exception: unknown function name, FLOW_ANGLE_OUT. Please check config_template.cfg for updated list of function names.

I look it up in github issue and discussion, and changed the OPT_OBJECTIVE to ENTROPY_GENERATION, then it returns: KeyError: 'ENTROPY_GENERATION'. The solution in github seems to be using FADO, but the tutorial is very hard for me, I wonder is there any more specific tutorial or guidence about FADO or is there any way that can run the testcases without using FADO.

I'm using SU2 8.0.1 and python 3.9.13 running in Windows Powershell.

It would be very greatful if you can offer some help! Thank you!

bigfootedrockmidget · May 16, 2024, 17:51

What is the exact command that you are using? I could use SU2_CFD as well as SU2_CFD_AD with the testcase and they both run fine. So I guess you are using maybe the shape_optimization.py scripts?

Remember that all these scripts are just automating the optimization for you, they are still doing basically
SU2_DEF -> deforming the mesh, for instance with an FFD box

SU2_CFD -> computing CFD solution
SU2_CFD_AD -> computing adjoint solution
SU2_DOT_AD -> computing dot product
Now you have a bunch of sensitivities at e.g. the nodes of your FFD box. You can feed them to SU2_DEF to deform your mesh again.

Xikii · May 17, 2024, 04:23

Thanks very much for your reply！

Affirmative！I‘m using shape_optimization.py script, and I found that using FADO may solve this but its too hard for me, so I still have no progress by now.

In your means that I can manually run the SU2_DEF>SU2_CFD>SU2_CFD_AD>SU2_DOT_AD repeatly and evey time means finish a iteration right? And I should run SU2_CFD>SU2_CFD_AD>SU2_DOT_AD before first SU2_DEF right?

I had switch my work enviroment into linux which may help my work.

Apologize for my ignorance
THANKS AGAIN for your help!

bigfootedrockmidget · May 17, 2024, 07:44

yes, in principle you can do a 'manual' optimization. But if you can get FADO to work that would be better. The FADO tutorial on the website is a good starting point.

Xikii · May 20, 2024, 02:26

Thanks for your reply!

I think I'd like to do it manually first to check the result and try the FADO later for futher learning.

May 14, 2024, 06:37	Trouble in running discrete adjoint turbomachinery testcase	#1
Xikii New Member Join Date: May 2024 Posts: 3 Rep Power: 2	Nice to me you! I'm totally beginer using SU2 for shape optimization, when I run the testcase 'disc_adj_turbomachinery/transonic_stator_2D returns: Exception: unknown function name, FLOW_ANGLE_OUT. Please check config_template.cfg for updated list of function names. I look it up in github issue and discussion, and changed the OPT_OBJECTIVE to ENTROPY_GENERATION, then it returns: KeyError: 'ENTROPY_GENERATION'. The solution in github seems to be using FADO, but the tutorial is very hard for me, I wonder is there any more specific tutorial or guidence about FADO or is there any way that can run the testcases without using FADO. I'm using SU2 8.0.1 and python 3.9.13 running in Windows Powershell. It would be very greatful if you can offer some help! Thank you!

May 16, 2024, 17:51		#2
bigfootedrockmidget Senior Member bigfoot Join Date: Dec 2011 Location: Netherlands Posts: 535 Rep Power: 17	What is the exact command that you are using? I could use SU2_CFD as well as SU2_CFD_AD with the testcase and they both run fine. So I guess you are using maybe the shape_optimization.py scripts? Remember that all these scripts are just automating the optimization for you, they are still doing basically SU2_DEF -> deforming the mesh, for instance with an FFD box SU2_CFD -> computing CFD solution SU2_CFD_AD -> computing adjoint solution SU2_DOT_AD -> computing dot product Now you have a bunch of sensitivities at e.g. the nodes of your FFD box. You can feed them to SU2_DEF to deform your mesh again. Xikii likes this.

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May 17, 2024, 04:23		#3
Xikii New Member Join Date: May 2024 Posts: 3 Rep Power: 2	Thanks very much for your reply！ Affirmative！I‘m using shape_optimization.py script, and I found that using FADO may solve this but its too hard for me, so I still have no progress by now. In your means that I can manually run the SU2_DEF>SU2_CFD>SU2_CFD_AD>SU2_DOT_AD repeatly and evey time means finish a iteration right? And I should run SU2_CFD>SU2_CFD_AD>SU2_DOT_AD before first SU2_DEF right? I had switch my work enviroment into linux which may help my work. Apologize for my ignorance THANKS AGAIN for your help!

May 17, 2024, 07:44		#4
bigfootedrockmidget Senior Member bigfoot Join Date: Dec 2011 Location: Netherlands Posts: 535 Rep Power: 17	yes, in principle you can do a 'manual' optimization. But if you can get FADO to work that would be better. The FADO tutorial on the website is a good starting point.

May 20, 2024, 02:26		#5
Xikii New Member Join Date: May 2024 Posts: 3 Rep Power: 2	Thanks for your reply! I think I'd like to do it manually first to check the result and try the FADO later for futher learning.