Sensitivities
Which variable appears to be the most important?
The significance of a variable for a response can be illustrated with ANOVA (analysis of variance) or GSA/Sobol (global sensitivity analysis), e.g for the response HIC you may find:
New Plot
- To view a new plot select the plot botton on the task bar. A seperate window of LS-OPT Viewer opens up.
LS-OPT Viewer
ANOVA
- Restart the LS-OPT Viewer and select under Metamodel the item Sensitivity
- We can slide to observe the sensitivity of results at each iteration. In this case for Iteration 1.
- Select Linear ANOVA in the new window.
- From Response select HIC.
→ For the response HIC the variable thood is more important, while the variable tbumper is rather insignificant.
GSA/Sobol
- The sensitivity analysis is done at Iteration 1, because of the domain reduction.
- Select GSA/Sobol.
- From Response select HIC.
- Sort the variables according to their significance for HIC.
→ We come to the same conclusion by using GSA. The influence of thood on HIC is 84.9%, larger than that of tbumper with 15.1%.
