Page 86 - Using ANSYS for Finite Element Analysis Dynamic, Probabilistic, Design and Heat Transfer Analysis

probabilistic Design analysis • 73

The results of a finite element analysis.
Random output The RPs are typically a function of the RVs; that is,
parameters changing the values of the RVs should change the
(RPs)
value of the RPs.
Probabilistic The RVs and RPs are collectively known as
design variables probabilistic design variables.
A unique set of parameter values that represents
Sample a particular model configuration. A sample is
characterized by random input variable values.
The collection of all samples that are required or
Simulation
that you request for a given probabilistic analysis.

PDS term Description
The simulation contains the information used to
determine how the component would behave under
real-life conditions (with all the existing uncertainties
and scatter); therefore, all samples represent the simu-
lation of the behavior.
The combination of definitions and specifications for
the deterministic model (in the form of the analysis
file). The model has these components:
• RVs.
• Correlations.
• RPs.
• The selected settings for probabilistic method and
its parameters.
Probabilistic If you change any part of the probabilistic model, then
model you will generate different results for the probabilistic
analysis (that is, different results values and/or a dif-
ferent number of results). For example, modifying the
analysis file may affect the results file. If you add or
take away an RV or change its distribution function,
you solve a different probabilistic problem (which
again leads to different results). If you add an RP, you
will still solve the same probabilistic problem, but
more results are generated.
A measure of location often used to describe the
general location of the bulk of the scattering data of a
Mean value
random output parameter or of a statistical distribution
function.
(Continued )