Design Sensitivity - Display

After loading a file, select a method to display the participation data.

Bar
Allows you to plot design sensitivity to an acoustic or structural response on a bar chart.
Enter a specific frequency in the Specific frequency field, or use the slider bar to select a frequency value. When you use the slider bar to select a frequency, a red line is displayed on the response plot and is dragged simultaneously as you drag the slider bar.
Show highest Des Var
Select the highest number of design variables to display.
Complex component
Magnitude Sensitivity - Plots the scalar sensitivity based on response magnitude change. Positive values indicate that response magnitude increases with increase in design variable and negative values indicate that response magnitude decreases with increase in design variable.
Projected Sensitivity - Plots scalar sensitivity values after projecting complex design sensitivity vector to the response. Positive values indicate that the response magnitude increases with an increase in design variables and negative values indicate that response magnitude decreases with an increase in design variables.
Rank by
Abs of Projected - Design variables are ranked by the area under the curve of the absolute values of their sensitivity projected to the response.
Abs of Magnitude Sensitivity - Design variables are ranked by the area under the curve of the absolute values of the magnitude sensitivity.
Export Set
Allows you to export a .csv file containing a design variable set definition of the top ranked design variables.
Display Options
Customize the plot, including scale, weighting, and the plot layout.
Display
Click Display to display the response plot.
2D Line
Creates a plot of design sensitivity to an acoustic or structural response on a 2D line plot (overlay).
Frequency range indicates the available range, based on your dsa.0.h3d file.
Using the From and To fields to customize the frequency band.
All other options are similar to those for the Bar plot.


Figure 1. Bar plot


Figure 2. 2D line plot