Single Variable Mode

Single variable Mode (Contribution Analysis)

• It follows the way of drawing a fringle plot, but:

1. By the second step, select A single variable's contribution to the D3Plot data instead of Statistic of D3plot data.
2. Select the variable SIGY.
3. Build quadratic metamodel from FEA result.

4. By the last step, give a name to this plot, e.g. single_variable.

Metamodels can be used to predict the statistics of the responses. In this case the statistics are computed due to one variable (SIGY).

→ The minimum occurs at node 1 (min=0) and the maximum at node 694 (max=1.10725).

Single Variable Mode (History)

• It follows the way of drawing a history plot, but:

1. By the second step, select How much each variable contributes to the history.
2. Build quadratic metamodel from FEA result.

3. By the last step, give a name to this plot, e.g. single_history.

The most important variable, or rather the variable responsible for the most variation of the response, can be plotted on the model.

→ In this case the variable T1 produces most of the variation.