This example uses a mesh of the center region of a dogbone specimen, meshed with 7200 C3D8R elements.  This Abaqus/Standard model takes about 91 seconds to run on 1 cpu, or about 60 seconds to run on 2 cpus.   It is always best to understand the model's runtime (suppress field output) before starting a calibration project.  I used this existing model even though I knew it was rather too large for calibration.  Some synthetic test data was created using one particular Johnson-Cook plasticity model.  Then this synthetic data was used to see if the calibration app could re-capture this "right answer" through running a series of Abaqus runs.  

Here is a narrated demonstration video showing this new feature being used in the development version of the calibration app. This video is about 7 minutes long and was created on May 4, 2020.

I revisited this project later in 2020 and took the time to reduce the model size.  See: 

https://r1132100503382-eu1-3dswym.3dexperience.3ds.com/#community:39/post:Epl8fgFAQAC0sXfy721kHA

Back to:  Necking of a titanium dogbone specimen

Back to:  FE-based Material Model Calibration

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Back to:  Material Modeling and Calibration - An Overview and Curriculum