Abstract
The idea behind robust design analysis is to test the robustness of an optimum solution found by means of the optimization algorithms previously discussed. By robustness we mean the ability of a given configuration not to lose its nominal performance characteristics when small changes are applied to it. These changes may stand, for instance, for an operating condition other than the design one in a machine, or for uncertainties in a mechanical component due to manufacturing tolerances or to its deterioration with use. The concept of RDA is introduced and two different general approaches are presented, namely: multi-objective robust design optimization, and reliability analysis. Specific reliability analysis algorithms are presented such as Monte Carlo, FORM, SORM, importance sampling. The differences between the two general approaches are stressed in the conclusions.
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