Craig bampton model reduction

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Jorge Garcia Garcia
评论： Jorge Garcia Garcia 2023-9-21
Hello all.
I have a pde model with the following characteristics:
PDESystemSize: 2
IsTimeDependent: 1
Geometry: [1×1 AnalyticGeometry]
EquationCoefficients: [1×1 CoefficientAssignmentRecords]
BoundaryConditions: [1×1 BoundaryConditionRecords]
InitialConditions: [1×1 InitialConditionsRecords]
Mesh: [1×1 FEMesh]
SolverOptions: [1×1 pde.PDESolverOptions]
and I need to use craig bampton method to reduce the system. I tried the function reduce
rom = reduce(ModelTwoDomains,'FrequencyRange',[0 1200]);
Due to the error "Incorrect number or types of inputs or outputs for function 'reduce'." I think the problem is that the model is not created as createpde('structural',...) I have also tried the function balred [~,info] = balred(modelTwoDomain) With the following error :
Incorrect number or types of inputs or outputs for function 'balred'.
I am not very sure how to perform this reduction.
Anyone can suggests me something? :S
Thanks again

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Nipun
Nipun 2023-9-21
编辑：Nipun 2023-9-21
Hi Craig,
I understand that you are trying to reduce a PDE model using Balred and Reduce functionality. I assume that you are working with MATLAB R2023.
Note that balred and reduce are not recommended going forward. It is recommended to use reducespec for model order reduction. I assume that you are working with a sparse LTI model and require a balanced method reduction.
R = reducespec(modelTwoDomain, "balanced")
model = getrom(R, order = x)
You may replace 'x' with the required order of the model. Refer to section Input arguments for parameter details. Hope this helps
Regards,
Nipun

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