The use of updated robust reliability measures in stochastic dynamical systems

Abstract

This work explores the effect of using updated robust reliability measures in the context of stochastic structural dynamical systems. A Bayesian probabilistic methodology for model updating is first implemented for the purpose of updating the structural model using dynamic data. The updated distribution of the system model parameters is then used to implement a strategy for updating the system reliability. The effect of the updated information on the robust performance and design of dynamical systems under stochastic excitation and modeling uncertainty is illustrated by several example problems.