[petsc-users] Questions Regarding PETSc and Solving Constrained Structural Mechanics Problems
hexioafeng
hexiaofeng at buaa.edu.cn
Thu Jun 12 04:08:31 CDT 2025
Dear sir,
Thanks for your thorough and helpful reply, and I will try the Uzawa method first.
Best regards,
Xiaofeng
> On Jun 12, 2025, at 16:57, Mark Adams <mfadams at lbl.gov> wrote:
>
> Adding this to the PETSc mailing list,
>
> On Thu, Jun 12, 2025 at 3:43 AM hexioafeng <hexiaofeng at buaa.edu.cn <mailto:hexiaofeng at buaa.edu.cn>> wrote:
>>
>> Dear Professor,
>>
>> I hope this message finds you well.
>>
>> I am an employee at a CAE company and a heavy user of the PETSc library. I would like to thank you for your contributions to PETSc and express my deep appreciation for your work.
>>
>> Recently, I encountered some difficulties when using PETSc to solve structural mechanics problems with Lagrange multiplier constraints. After searching extensively online and reviewing several papers, I found your previous paper titled "Algebraic multigrid methods for constrained linear systems with applications to contact problems in solid mechanics" seems to be the most relevant and helpful.
>>
>> The stiffness matrix I'm working with, K, is a block saddle-point matrix of the form (A00 A01; A10 0), where A00 is singular—just as described in your paper, and different from many other articles . I have a few questions regarding your work and would greatly appreciate your insights:
>>
>> 1. Is the AMG/KKT method presented in your paper available in PETSc? I tried using CG+GAMG directly but received a KSP_DIVERGED_PC_FAILED error. I also attempted to use CG+PCFIELDSPLIT with the following options:
>
> No
>
>>
>> -pc_type fieldsplit -pc_fieldsplit_detect_saddle_point -pc_fieldsplit_type schur -pc_fieldsplit_schur_precondition selfp -pc_fieldsplit_schur_fact_type full -fieldsplit_0_ksp_type preonly -fieldsplit_0_pc_type gamg -fieldsplit_1_ksp_type preonly -fieldsplit_1_pc_type bjacobi
>>
>> Unfortunately, this also resulted in a KSP_DIVERGED_PC_FAILED error. Do you have any suggestions?
>>
>> 2. In your paper, you compare the method with Uzawa-type approaches. To my understanding, Uzawa methods typically require A00 to be invertible. How did you handle the singularity of A00 to construct an M-matrix that is invertible?
>>
>
> You add a regularization term like A01 * A10 (like springs). See the paper or any reference to augmented lagrange or Uzawa
>
>
>> 3. Can i implement the AMG/KKT method in your paper using existing AMG APIs? Implementing a production-level AMG solver from scratch would be quite challenging for me, so I’m hoping to utilize existing AMG interfaces within PETSc or other packages.
>>
>
> You can do Uzawa and make the regularization matrix with matrix-matrix products. Just use AMG for the A00 block.
>
>
>> 4. For saddle-point systems where A00 is singular, can you recommend any more robust or efficient solutions? Alternatively, are you aware of any open-source software packages that can handle such cases out-of-the-box?
>>
>
> No, and I don't think PETSc can do this out-of-the-box, but others may be able to give you a better idea of what PETSc can do.
> I think PETSc can do Uzawa or other similar algorithms but it will not do the regularization automatically (it is a bit more complicated than just A01 * A10)
>
> Thanks,
> Mark
>>
>> Thank you very much for taking the time to read my email. Looking forward to hearing from you.
>>
>>
>>
>> Sincerely,
>>
>> Xiaofeng He
>> -----------------------------------------------------
>>
>> Research Engineer
>>
>> Internet Based Engineering, Beijing, China
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