This paper proposes a system active learning Kriging (SALK) method to handle system
reliability-based design optimization (SRBDO) problems, where responses of all constraints …

The classical reliability-based design optimization (RBDO) methods, due to the ever
increasing complexity of designs and contingent engineering situations, incur more and …

Surrogate models have been widely employed as approximations of expensive physics-
based simulations to alleviate the computational burden in reliability-based design …

Reliability-based design optimization (RBDO) in practical applications is hindered by its
huge computational cost during structure reliability evaluating process. Kriging-model-based …

A maximum confidence enhancement (MCE)-based sequential sampling approach is
developed for reliability-based design optimization (RBDO) using surrogate models. The …

Dynamic reliability measures reliability of an engineered system considering time-variant
operation condition and component deterioration. Due to high computational costs …

Time-variant reliability analysis aims at revealing the time evolution of the reliability of an
engineered system under time-dependent uncertainties that are best described by random …

Offshore structures have a long service life and involve high cost. However, the working
environment of offshore structures is harsh. When an accident occurs, it causes an adverse …

Reliability-based design optimization (RBDO) combined with metamodel is a powerful tool
to deal with variation of system output induced by uncertainties during practical engineering …

This paper proposes a decoupling algorithm for reliability-based design optimization
(RBDO) with high performance in terms of efficiency and convergence, which provides an …