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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 ananlysis), e.g for the response HIC you may find:

 

LS-OPT Viewer

 

    ANOVA

  1. Restart the LS-OPT Viewer and select under Metamodel the item Sensitivity
  2. Select  Linear ANOVA in the new window.
  3. From Response select HIC.
  4. Sort the variables according to their significance for HIC

 

 

 

 

 

 

 

 

 

→ For the response HIC the variable thood is more important, while the variable tbumper is rather insignificant.

 

 

 

 

 

 

 

 

 

   

 

    GSA/Sobol

  1. Select GSA/Sobol.
  2. From Response select HIC.
  3. 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 (15.1%).

menubar1.png

new_plot2.png

anova_view1.png

gsa_view1.png

lsopt_output File

 

  1. Open the lsopt_output file with a text editor.
  2. Search in the file for "Ranking".
  3. Find out the importance of each of the variables for the response.
anova_file1.png