Structure Dynamic Reliability Analysis Method Based on Adaptive Surrogate Model

Abstract

The structure dynamic reliability analysis is of great importance of measuring the structural safety state and operation characteristic. An efficient dynamic reliability analysis method which simultaneously consi-ders the uncertainties of dynamic excitation load and material properties parameters is adopted. The Kriging surrogate model between the uncertainty material property parameters and conditional dynamic reliability is constructed to deduce the analytical expression of the dynamic reliability. Simultaneously, a new learning function for constructing the adaptive Kriging surrogate is proposed, and its accuracy and efficiency are verified by dynamic reliability analysis of ceramic matrix composites aircraft skin frame structure under the random uncertainties of dynamic excitation load and material properties parameters. The results show that the proposed method for estimating the dynamic reliability can not only avoid the error caused by numerical integration with surrogate model, but also provide accurate solution of dynamic reliability by using the computational costs as little as possible.

Keywords

• composites aircraft skin frame
• dynamic reliability
• kriging surrogate model
• learning function
• analytical expression