### Export Stiffness Matrix from Ansys

It is sometimes useful to extract the mass and stiffness matrix from Ansys.

*SMAT, MatK, D, IMPORT, FULL, file.full, STIFF
*PRINT, matk, matk, txt

Exporting mass matrix would be similar:
*SMAT, MatM, D, import, full, file.full, MASS

The above script uses APDL Math to get the job done. (Please see previous post for another example). The ordering of the matrix is unfortunately not concurrently exported. To verify the sequencing is as expected, we will work to replicate a truss example in the Finite Element Trusses course notes by Bob Greenlee.
Figure 1: Truss Problem Setup

Model Creation
Script to create model:
/prep7
!! Creates Model to reflect course notes
! Properties
et,1,1
mp, ex, 1, 29.5e6
r, 1, 1

! Geometry
n,1 $n,2, 40$ n,3, 40, 30 $n,4, 0, 30 e,1,2$ e,2,3 $e,1,3$ e,3,4

! Boundary Conditions
d,1,ux,0 $d,1,uy,0 d,2,uy,0 d,4,ux,0$ d,4,uy,0
f,2,fx,20e3
f,3,fy,-25e3

! solves
/solu
eqslv, sparse
wrfull, 1
solve
finish
save

Extract & Export Stiffness Matrix
With the file.full file of the FEM model created, let's now export the stiffness matrix to both a text file and MMF file format.

! Gets Stiffness Matrix
*SMAT, MatK, D, import, full, file.full, stiff
*SMAT, Nod2Bcs, D, import, full, file.full,NOD2BCS
*print, MatK, matk.txt ! Exports Stiffness to Text File
*export, MatK, mmf, matkMMF.txt ! Exports Stiffness as MMF format

Here's the MatK matrix printed out. Note it is is both sparse and assumed symmetric.
Figure 2: Stiffness Matrix

This compares favorably to the course notes:
Figure 3: Course Notes Values

DOF Ordering
Despite having 4 nodes with UX and UY (total of 8 DOF), there are only 3 DOF here because the boundary condition equations were removed leaving DOF # 3, 5 and 6. In this case the ordering was in sequence but the Degree of Freedom Ordering Documentation states that the ordering may be optimized for solving.

The node numbering we use in APDL is User Ordering. To convert that to Internal Ordering that removes unused node number and optimized reordering, we use the FORWARD nodal vector mapping. Here's my interpretation of mapping the 4 sequential nodes into Internal Ordering.

*VEC,MapForward,I,IMPORT,FULL,file.full,FORWARD
*dim, Xint,, MAPFORWARD_ROWDIM*MAPFORWARD_NUMDOF
cto=0
*do, EUnodeNumber, 1, MAPFORWARD_ROWDIM
*do, dofdir, 1, MAPFORWARD_NUMDOF
j = MapForward(EUnodeNumber)
cto=cto+1
Xint(cto) = (j-1)*MAPFORWARD_NUMDOF+dofdir
*enddo
*enddo

Next, another mapping vector was multiplied to get BCS Ordering  from Internal Ordering.
*VEC, Xxint, d, import, apdl, Xint ! from previous equivalence
*MULT, Nod2Bcs,, Xxint,, Xbcs    ! X of BCS ordering
*PRINT, Xbcs  ! Indexing of BCS (see output window)

That gets us the Xbcs ordering (Figure 4) which reflects the DOF subscript in Figure 3.
Figure 4: Xbcs index

Solving for Displacements
To continue solving the FE problem in APDL Math, the equations are solved with results identical to the course notes:
*VEC,vRHS,D,IMPORT,FULL,file.full,RHS
*LSENGINE,BCS,MyBcsSolver,MatK
*LSFACTOR,MyBcsSolver
*DMAT,VecX,D,COPY,vRHS
*LSBAC,MyBcsSolver,vRHS,VecX
*PRINT, VecX

Figure 5: Solved Displacement

Conclusions
APDL Math allows us to manipulate the internal matrix and vectors quite effectively once some familiarity was established. Depending on the task at hand, it may be worth while doing the calculation inside Ansys with APDL Math instead of exporting and calculating it externally in Matlab/Octave or Python etc.

Speaking of Python, I came across pyansys by Alex Kaszynski which exports the K and M matrix and it's corresponding node and degree of freedom. Unfortunately my attempt had an error of ValueError. If anyone else is able to get it to work, please let me know in the comments section. Thanks!

APDL script of the above project: WriteStiffness.inp

1. pyansys seems to be very limited at this stage but I do realize it's future potential. It can only deal with the following element types- '45', '95', '185', '186', '92', '187'

1. Thanks Abhijeet! That's good to know. Could you share a link that lists it's limitation?

Cheers,
Jason

2. I was going through the pyansys python code listed at github.

3. Thanks for the pointer. Here is the link if others are interested:

2. Hi Jason,

Do you have an example how APDL math can be use for parameter sensitivity study of a model ?
Thanks

1. Here is a not-so-good example for modal sensitivity: https://www.ansystips.com/2017/06/apdl-math-example.html.

3. Hi Jason,

I got an error when I want to extract the mass matrix on the same way (it says that mass is not existing) do we need to do something more ?
Thank you

1. You first need create the *.full where the matrix is (WRFULL). The above example here would not have mass matrix as no density was previously defined for LINK1 elements.

2. Okay it works now, thanks again !

4. Hi dear Jason
I've defined density and I tried to extract mass matrix but the mass and stiffness matrix both was looks exactly like each other. Please write the mass matrix code.
Thank you 💐

1. These commands should work:
*SMAT, MatM, D, import, full, file.full, MASS
*PRINT, MatM, MatM, txt

2. Thank you so much ,That worked.
I have another question. I'm modeling something and after solving i extract stiffness and mass matrix and then i'm trying to model another thing but i can't extract the stiffness and mass matrix of the new model, when i run the commands of mass and stiffness matrix, ANSYS saves the previous model's mass and stiffness matrix for me!
what should i do?

3. Perhaps look at Multiframe restart (https://www.sharcnet.ca/Software/Ansys/16.2.3/en-us/help/ans_bas/Hlp_G_BAS3_12.html#BASmultrestmap52199). Inserting your script after the first and last FINISH command in example 5.1 yields different stiffness matrix file.

5. hello sir,
There is an error when i try to run the code, it says:
*SMA Command : Fails to open the file file.full.
*PRI Command : Matrix/Vector MATK cannot be found
*EXP Command : Matrix/Vector MATK cannot be found

1. It sounds like Ansys was not able to locate file.full. Make sure you have it in the working directory before *SMAT is issued.