This paper demonstrates structural sizing optimizations of a fighter wing configuration in the presence of uncertainties in structural parameters and material properties. The design variables and input parameters are considered to have uncertainties and are treated as aleatory and epistemic random variables in the optimization process. The aleatory uncertainties are quantified and propagated via inexpensive sampling of kriging surrogate models, whereas the epistemic uncertainties are propagated

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... using a box-constrained optimization approach. The considered loading condition arises from trimmed flight at a 220 • /s roll maneuver. The resulting designs are shown to be robust against input anomalies to desired probabilistic levels.