Workflows 22.1 PDF HTML
Using SimVT for Sensitivity Studies
Using SimVT for Sensitivity Studies
Three models are used for this example (but you can use as many as you like):
- M1 – the baseline model
- M2 – a variant of the baseline
- M3 – another variant of the baseline
The purpose of this sensitivity study is to determine if the changes in M2 and M3 compared to M1 have significantly affected any of the results curves (output channels). Before following the steps in T/HIS, make sure that each model has Automotive Assessment Workflow Data (AAWD) defined. You can optionally choose to share the same AAWD for all the models in the study by placing the AAWD JSON file in a directory that is an ancestor to all the model results.
Steps in T/HIS
- Open T/HIS
- Load the Ansys LS-DYNA results for the baseline model
- Load the Ansys LS-DYNA results for one or more models that you want to compare against the baseline.
- Click . Note, if you have “Open Menu Automatically” checked you can skip this step.
- Select and select all the models M1, M1, M3 etc.,
- Click on (this will open the "Correlation Setup" window)
- On the Correlation Setup window, select the baseline model (M1) as the "Reference test".
- Select all the other models as the simulation(s) (hold down shift when clicking to select multiple i.e. Shift + + ).
- Select the method you want to use for correlating.
- Add/remove any channel matching rules that you require to match M1 channels to M2 and M3 etc. (note if you are sharing the same AAWD then the channels will all match without the need for matching rules)
- Select the channels you want to correlate in the channel list (or select all of them by clicking on the ).
- Click . The setup window will disappear, and it will be replaced by three windows:
- Progress window
- Correlation Table
- Plotting Controls
- Once the progress window has disappeared you can inspect the results on the Correlation Table and plot the correlation graphs by using the buttons on the table.
- You can also perform corrective operations to the input curves.