ABSTRACT
This paper is concerned with reduced order modeling techniques for the stochastic design optimization of complex engineering systems whose performance is dictated by their transient response. Uncertainties in design and operating parameters are considered. A novel, extended formulation of algebraically derived reduced order models is introduced and applied to the stochastic optimization of a structural component. The numerical studies show the potential of reduced order modeling techniques to enable the use of high-fidelity simulation methods for stochastic design optimization purposes.