Abstract
AbstractIn this contribution, the extended Optimal Uncertainty Quantification framework is integrated within the context of reliability‐based design optimizations (RBDO). By that, all advantages the extended Optimal Uncertainty Quantification framework offers for the polymorphic uncertainty quantification, such as the ability to incorporate exact or bounded moment information on epistemic uncertainties without the requirement of the specification of an underlying probability distribution function, can be utilized in order to identify the mathematically sharpest bounds on probabilities as required in an RBDO‐context. The combined framework is tested by means of a numerical example, in which the production and a simple crash scenario of a car front bumper are investigated. Therein, the optimization objective is the maximization of the dissipated energy during the crash, whilst a predefined failure probability is not exceeded.
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