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reconstructSolution

Recover full-model transient solution from reduced-order model (ROM)

Since R2019b

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Syntax

structuralresults = reconstructSolution(Rcb,u,ut,utt,tlist)
thermalresults = reconstructSolution(Rtherm,u_therm,tlist)

Description

example

structuralresults = reconstructSolution(Rcb,u,ut,utt,tlist) recovers the full transient structural solution from the reduced-order model Rcb, displacement u, velocity ut, and acceleration utt. Typically, the displacement, velocity, and acceleration are the values returned by Simscape™.

example

thermalresults = reconstructSolution(Rtherm,u_therm,tlist) recovers the full transient thermal solution from the reduced-order model Rtherm, temperature in modal coordinates u_therm, and the time-steps tlist that you used to solve the reduced model.

Examples

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Open Live Script

Knowing the solution in terms of the interface degrees of freedom (DoFs) and modal DoFs, reconstruct the solution for the full structural transient model.

Create a structural model for transient analysis.

modelT = createpde("structural","transient-solid");

Create a square cross-section beam geometry and include it in the model.

gm = multicuboid(0.05,0.003,0.003);
modelT.Geometry = gm;

Plot the geometry, displaying face and edge labels.

figure
pdegplot(modelT,"FaceLabels","on","FaceAlpha",0.5)
view([71 4])

Figure contains an axes object. The axes object contains 6 objects of type quiver, text, patch, line.

figure
pdegplot(modelT,"EdgeLabels","on","FaceAlpha",0.5)
view([71 4])

Figure contains an axes object. The axes object contains 6 objects of type quiver, text, patch, line.

Specify Young's modulus, Poisson's ratio, and the mass density of the material.

structuralProperties(modelT,"YoungsModulus",210E9, ...
                            "PoissonsRatio",0.3, ...
                            "MassDensity",7800);

Fix one end of the beam.

structuralBC(modelT,"Edge",[2 8 11 12],"Constraint","fixed");

Add a vertex at the center of face 3.

loadedVertex = addVertex(gm,"Coordinates",[0.025 0.0 0.0015]);

Generate a mesh.

generateMesh(modelT);

Apply a sinusoidal concentrated force in the z-direction on the new vertex.

structuralBoundaryLoad(modelT,"Vertex",loadedVertex, ...
                              "Force",[0;0;10],"Frequency",6000);

Specify zero initial conditions.

structuralIC(modelT,"Velocity",[0 0 0],"Displacement",[0 0 0]);

Define superelement interfaces using the fixed and loaded boundaries. In this case, the reduced-order model retains the DoFs on the fixed face and the loaded vertex while condensing all other DoFs in favor of modal DoFs. For better performance, use the set of edges bounding face 5 instead of using the entire face.

structuralSEInterface(modelT,"Edge",[2 8 11 12]);
structuralSEInterface(modelT,"Vertex",loadedVertex);

Reduce the structure, retaining all fixed interface modes up to 5e5.

rom = reduce(modelT,"FrequencyRange",[-0.1,5e5]);

Next, use the reduced-order model to simulate the transient dynamics. Use the ode15s function directly to integrate the reduced system ODE. Working with the reduced model requires indexing into the reduced system matrices rom.K and rom.M. First, construct mappings of indices of K and M to loaded and fixed DoFs by using the data available in rom.

DoFs correspond to translational displacements. If the number of mesh points in a model is Nn, then the toolbox assigns the IDs to the DoFs as follows: the first 1 to Nn are x-displacements, Nn+1 to 2*Nn are y-displacements, and 2Nn+1 to 3*Nn are z-displacements. The reduced model object rom contains these IDs for the retained DoFs in rom.RetainedDoF.

Create a function that returns DoF IDs given node IDs and the number of nodes.

getDoF = @(x,numNodes) [x(:); x(:) + numNodes; x(:) + 2*numNodes];

Knowing the DoF IDs for the given node IDs, use the intersect function to find the required indices.

numNodes = size(rom.Mesh.Nodes,2);
 
loadedNode = findNodes(rom.Mesh,"region","Vertex",loadedVertex);
loadDoFs = getDoF(loadedNode,numNodes);
[~,loadNodeROMIds,~] = intersect(rom.RetainedDoF,loadDoFs);

In the reduced matrices rom.K and rom.M, generalized modal DoFs appear after the retained DoFs.

fixedIntModeIds = (numel(rom.RetainedDoF) + 1:size(rom.K,1))';

Because fixed-end DoFs are not a part of the ODE system, the indices for the ODE DoFs in reduced matrices are as follows.

odeDoFs = [loadNodeROMIds;fixedIntModeIds];

The relevant components of rom.K and rom.M for time integration are:

Kconstrained = rom.K(odeDoFs,odeDoFs);
Mconstrained = rom.M(odeDoFs,odeDoFs);
numODE = numel(odeDoFs);

Now you have a second-order system of ODEs. To use ode15s, convert this into a system of first-order ODEs by applying linearization. Such a first-order system is twice the size of the second-order system.

Mode = [eye(numODE,numODE),   zeros(numODE,numODE); ...
        zeros(numODE,numODE), Mconstrained];
Kode = [zeros(numODE,numODE), -eye(numODE,numODE); ...
        Kconstrained,         zeros(numODE,numODE)];
Fode = zeros(2*numODE,1);

The specified concentrated force load in the full system is along the z-direction, which is the third DoF in the ODE system. Accounting for the linearization to obtain the first-order system gives the loaded ODE DoF.

loadODEDoF = numODE + 3;

Specify the mass matrix and the Jacobian for the ODE solver.

odeoptions = odeset;
odeoptions = odeset(odeoptions,"Jacobian",-Kode);
odeoptions = odeset(odeoptions,"Mass",Mode);

Specify zero initial conditions.

u0 = zeros(2*numODE,1);

Solve the reduced system by using ode15s and the helper function CMSODEf, which is defined at the end of this example.

tlist = 0:0.00005:3E-3;
sol = ode15s(@(t,y) CMSODEf(t,y,Kode,Fode,loadODEDoF), ...
                                 tlist,u0,odeoptions);

Compute the values of the ODE variable and the time derivatives.

[displ,vel] = deval(sol,tlist);

Knowing the solution in terms of the interface DoFs and modal DoFs, you can reconstruct the solution for the full model. The reconstructSolution function requires the displacement, velocity, and acceleration at all DoFs in rom. Construct the complete solution vector, including the zero values at the fixed DoFs.

u = zeros(size(rom.K,1),numel(tlist));
ut = zeros(size(rom.K,1),numel(tlist));
utt = zeros(size(rom.K,1),numel(tlist));
u(odeDoFs,:) = displ(1:numODE,:);
ut(odeDoFs,:) = vel(1:numODE,:);
utt(odeDoFs,:) = vel(numODE+1:2*numODE,:);

Construct a transient results object using this solution.

RTrom = reconstructSolution(rom,u,ut,utt,tlist);

Compute the displacement in the interior at the center of the beam using the reconstructed solution.

coordCenter = [0;0;0];
iDispRTrom = interpolateDisplacement(RTrom, coordCenter);
figure
plot(tlist,iDispRTrom.uz)
title("Z-Displacement at Geometric Center")

Figure contains an axes object. The axes object with title Z-Displacement at Geometric Center contains an object of type line.

ODE Helper Function

function f = CMSODEf(t,u,Kode,Fode,loadedVertex)
Fode(loadedVertex) = 10*sin(6000*t);
f = -Kode*u +Fode;
end
Open Live Script

Reconstruct the solution for a full thermal transient model from the reduced-order model.

Create a transient thermal model.

thermalmodel = createpde("thermal","transient");

Create a unit square geometry and include it in the model.

geometryFromEdges(thermalmodel,@squareg);

Plot the geometry, displaying edge labels.

pdegplot(thermalmodel,"EdgeLabels","on")
xlim([-1.1 1.1])
ylim([-1.1 1.1])

Figure contains an axes object. The axes object contains 5 objects of type line, text.

Specify the thermal conductivity, mass density, and specific heat of the material.

thermalProperties(thermalmodel,"ThermalConductivity",400, ...
                               "MassDensity",1300, ...
                               "SpecificHeat",600);

Set the temperature on the right edge to 100.

thermalBC(thermalmodel,"Edge",2,"Temperature",100);

Set an initial value of 50 for the temperature.

thermalIC(thermalmodel,50);

Generate a mesh.

generateMesh(thermalmodel);

Solve the model for three different values of heat source and collect snapshots. 

tlist = 0:10:600;
snapShotIDs = [1:10 59 60 61];
Tmatrix = [];

heatVariation = [10000 15000 20000];
for q = heatVariation
    internalHeatSource(thermalmodel,q);
    results = solve(thermalmodel,tlist);
    Tmatrix = [Tmatrix,results.Temperature(:,snapShotIDs)];
end

Switch the thermal model analysis type to modal.

thermalmodel.AnalysisType = "modal";

Compute the POD modes.

RModal = solve(thermalmodel,"Snapshots",Tmatrix);

Reduce the thermal model.

Rtherm = reduce(thermalmodel,"ModalResults",RModal) 
Rtherm = 
  ReducedThermalModel with properties:

                    K: [6x6 double]
                    M: [6x6 double]
                    F: [6x1 double]
    InitialConditions: [6x1 double]
                 Mesh: [1x1 FEMesh]
           ModeShapes: [1529x5 double]
     SnapshotsAverage: [1529x1 double]

Next, use the reduced-order model to simulate the transient dynamics. Use the ode15s function directly to integrate the reduced system ODE. Specify the mass matrix and the Jacobian for the ODE solver.

odeoptions = odeset;
odeoptions = odeset(odeoptions,"Mass",Rtherm.M);
odeoptions = odeset(odeoptions,"JConstant","on");
f = @(t,u) -Rtherm.K*u + Rtherm.F;
df = -Rtherm.K;
odeoptions = odeset(odeoptions,"Jacobian",df);

Solve the reduced system by using ode15s.

sol = ode15s(f,tlist,Rtherm.InitialConditions,odeoptions);

Compute the values of the ODE variable.

u = deval(sol,tlist);

Reconstruct the solution for the full model.

R = reconstructSolution(Rtherm,u,tlist);

Plot the temperature distribution at the last time step.

pdeplot(thermalmodel,"XYData",R.Temperature(:,end))

Figure contains an axes object. The axes object contains an object of type patch.

Input Arguments

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Structural results obtained using the Craig-Bampton order reduction method, specified as a ReducedStructuralModel object.

Displacement, specified as a matrix. The number of rows in the matrix must equal the sum of the numbers of interface degrees of freedom and the number of modes. The x-displacements at the retained degrees of freedom must appear first, then the y-displacements, and, for a 3-D geometry, z-displacements, followed by the generalized modal degrees of freedom. The number of columns must equal the number of elements in tlist.

Data Types: double

Velocity, specified as a matrix. The number of rows in the matrix must equal the sum of the numbers of interface degrees of freedom and the number of modes. The x-velocities at the retained degrees of freedom must appear first, then the y-velocities, and, for a 3-D geometry, z-velocities, followed by the generalized modal degrees of freedom. The number of columns must equal the number of elements in tlist.

Data Types: double

Acceleration, specified as a matrix. The number of rows in the matrix must equal the sum of the numbers of interface degrees of freedom and the number of modes. The x-accelerations at the retained degrees of freedom must appear first, then the y-accelerations, and, for a 3-D geometry, z-accelerations, followed by the generalized modal degrees of freedom. The number of columns must equal the number of elements in tlist.

Data Types: double

Solution times for solving the reduced-order model, specified as a real vector.

Data Types: double

Reduced-order thermal model, specified as a ReducedThermalModel object.

Temperature in modal coordinates, specified as a matrix. The number of rows in the matrix must equal the number of modes. The number of columns must equal the number of elements in tlist.

Data Types: double

Output Arguments

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Transient structural analysis results, returned as a TransientStructuralResults object. The object contains the displacement, velocity, and acceleration values at the nodes of the triangular or tetrahedral mesh generated by generateMesh.

Transient thermal analysis results, returned as a TransientThermalResults object. The object contains the temperature and gradient values at the nodes of the triangular or tetrahedral mesh generated by generateMesh.

Version History

Introduced in R2019b

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See Also

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