Introduction to Stress-Strain Cleanup using MCalibration
In my experience, you always need to perform a stress-strain cleanup of all experimental data that you receive. Raw data from a test lab often have all kinds of problems. Here are some examples:
- The stress-strain data does not start from strain=0 and stress=0.
- There is no time column, or the time column does not start from 0.
- There are too many rows of data in the data file.
- There are too few rows in the data file.
- The data is really noisy.
- The test file includes final failure which needs to be removed before material model calibration.
It is certainly possible to perform stress-strain cleanup using Excel or some other general purpose data analysis software. Those tools, however, are general purpose and are typically both time consuming and difficult to use when it comes to stress-strain cleanup. For these reasons we have added extensive tools within MCalibration that have been designed to quickly and accurately perform stress-strain cleanup of any experimental data. Since these tools are part of MCalibration it is very easy to add experimental data cleanup to your material model calibration workflow. If you have not used these features in MCalibration, then give them a try next time you have data that needs to fixed.
As an example of how this can be used, here is a video tutorial showing how you can quickly remove one complete load cycle from an experimental test with multiple load-unload cycles. For more info see our FREE Introduction to MCalibration class.
