Developement Of A Batch Mode For Conduit And Its ... - Cal Poly

parameter 8 would not resolve the correlation between parameter 7 and 9. The same
could be said for freezing parameter 9, having no effect on the correlation between
parameters 7 and 8. Thus, some experimentation would need to be done to determine the
actual relationship of the design parameters.
If four or more parameters are correlated, then it could quite possibly be that all
four design parameters are correlated, or it could be two pairs of correlated parameters
that just happen to have similar Cramer Rao percentages. Thus, to resolve the correlation
of three or more parameters, the user would refer to the block diagram to possibly gain
insight on which parameter to freeze. However, with the complexity of most block
diagrams, this might not be feasible. Thus, trial and error would be the next best step.
The user would freeze a parameter, recalculate the gradient and Cramer Rao bounds, and
repeat the process until all parameter correlations are resolved. Ideally, each parameter
of a group should be frozen individually to see if the parameters are related as in Figure
42c. By freezing only the critical parameters, more design parameters are still available
to COMATLAB, providing it with the greatest amount of flexibility so that the
optimization may be able to progress further than if additional parameters were frozen.
Once the insensitive and correlated parameters are frozen, the user would then
restart the optimization. The optimization would hopefully then continue further. This
process of running sensitivity analyses and optimizations would continue until
satisfactory results have been reached, the sensitivity analysis can’t find any parameters
to freeze, or all design parameters have been frozen.
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