The Use of Bayesian Model Updating in Stochastic Design Problems

Abstract eng:
This work focuses on the effect of using updated 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 reliability and design of dynamical systems under stochastic excitation is illustrated by an example problem.

• Export as: BibTeX | MARC | MARCXML | DC | EndNote | NLM | RefWorks
• Add to your basket