Am analysing stress-strain in strain-controlled loading, can some help me with the necessary input file definition so that i can employ a post-processing subroutine. This is necessary since i have different element sizes.
I am not aware of a way to implement post-processing directly in the input file. However, I often use the Abaqus python adaptation to do post-processing on data. Any data that is requested as output will be accessible in the .odb file. In order to access this I have some scripts, they typically start with the following:
From there you have to figure out how to access specific variables you are interested in, but these can be found in the Abaqus documentation. They can then be written to file for manipulation out of Abaqus, or processed in your script. For a good example look at the Abaqus Scripting User's Guide chapter 9, which talks about accessing an odb database using python.
I am not aware of a way to implement post-processing directly in the input file. However, I often use the Abaqus python adaptation to do post-processing on data. Any data that is requested as output will be accessible in the .odb file. In order to access this I have some scripts, they typically start with the following:
From there you have to figure out how to access specific variables you are interested in, but these can be found in the Abaqus documentation. They can then be written to file for manipulation out of Abaqus, or processed in your script. For a good example look at the Abaqus Scripting User's Guide chapter 9, which talks about accessing an odb database using python.
Thanks alot everyone for the contributions, does anyone have a sample python code i can use for either 2D or 3D which i can use to develop my own, as i am using FORTRAN.
I've attached an example of some code I use to extract the strain time history. I put in a few comments to explain how it works.
If you haven't used python I would highly recommend spending some time looking at Abaqus' python tutorials in the documentation, some of which are written for beginners.