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probabilistic Design analysis • 75
8. Choose the probabilistic design tool or method (PDS).
9. Execute the loops required for the probabilistic design analysis
(PDS).
10. Fit the response surfaces (if you did not use a Monte Carlo Sim-
ulation method) (PDS).
11. Review the results of the probabilistic analysis (PDS).
Since analyzing complex problems can be time-consuming, ANSYS
offers you the option of running a probabilistic analysis on a single proces-
sor or distributing the analyses across multiple processors. By using the
ANSYS PDS parallel run capabilities, you can run many analysis loops
simultaneously and reduce the overall run time for a probabilistic analysis.
The following Figure 3.1 shows the flow of information during a
probabilistic design analysis.
Figure 3.1. The flow of information during a probabilistic design analysis.
3.2 ProBaBiLity distriButions
Probability distributions are a fundamental concept in statistics. They are
used both on a theoretical level and a practical level. Some practical uses
of probability distributions are:
• To calculate confidence intervals for parameters and to calculate
critical regions for hypothesis tests.