In this paper, reliability based robust design optimization was performed inconsideration of the
uncertainty variables of the active type deck support frame. The Design Of Experiments(DOE)
was performed by setting the thickness of active type DSF in...
In this paper, reliability based robust design optimization was performed inconsideration of the
uncertainty variables of the active type deck support frame. The Design Of Experiments(DOE)
was performed by setting the thickness of active type DSF initial design as the design factors.
Mass and design load cases max stress of active type DSF as the response. An Meta-model
based on the DOE result was created and the accuracy was examined through the deterministic
optimization results. The uncertainty variables according to the manufacturing, tolerance were set
as random variables and 99.73% reliability probability was applied to the temperature limit
constraint and the corresponding sigma level was assigned to the side constraint as robustness.
Reliability based robust optimization based and deterministic optimization and Monte Carlo
simulation was performed and compared with the deterministic optimization results. As a result, it
was considered that the reliability based robust optimization using the mean value reliability
method was most suitable for the design of the active type deck support frame.