Hi Ana Regina,
Good news, you have enough RAM (64 GB) for this model to solve incore. Below is the paragraph in solve.out.
The Distributed Sparse Matrix Solver is currently running in the
in-core memory mode. This memory mode uses the most amount of memory
in order to avoid using the hard drive as much as possible, which most
often results in the fastest solution time. This mode is recommended
if enough physical memory is present to accommodate all of the solver data.
More good news is you have more cores available to use to speed up this model. You have a dual processor computer and each one has 12 cores, so there are a total of 24 cores available. In the Advanced Solve Properties dialog, change the Max Number of utilized cores from 2 to 4.
You need an HPC license to use more than 4 cores. One quick way to find out if you have an HPC license is to type in 8 and try to solve. If you don’t have an HPC license, you will see some kind of error then you can go back to 4 cores.
The model took 38.6 hours on 2 cores to do 3361 iterations. Therefore each iteration took 41.4 seconds. Run the model on 4 cores for just Step 1, which will complete in 59 iterations. Look at the last line in the Solution Output file and read the Elapsed Time in seconds and divide that by 59 to see the new time per iteration for 4 cores and see how much less than 41.4 seconds for 2 cores it was and report back in your reply. If you can run on 8 cores, repeat the process and see the time per iteration on 8 cores. If the HPC license allows you to use 16 cores, give that a run and you will begin to see how the elapsed time does not scale linearly with the number of cores.
The Force Convergence plot shows that you have a well tuned time step configuration, so I would not change it.
That leaves reducing the node count in the stent. I have downloaded the geometry you put in Google Drive, which is a Parasolid file, not an STL file. Parasolid is the best format for sharing geometry, STL is the worst format for sharing geometry. I will post a second reply when I have sliced up your stent.
Regards,
Peter