Surrogate models are often used to alleviate the computational burden for structural systems
with expensively time-consuming simulations. In this paper, a new adaptive surrogate model …

Kriging approximation has been widely used in reliability-based design optimization (RBDO)
to replace the complex black-box performance functions. In this paper, a new local …

Reliability-based design optimization (RBDO) is applied to handle the unavoidable
uncertainties in engineering applications. To alleviate the huge computational burden in …

The critical problem of reliability design is how to obtain a more accurate failure probability
with a smaller number of evaluations of actual complex and nonlinear performance function …

A general method for estimating the bounds of the reliability of a system in which the input
variables are described by random sets (probability distributions, probability boxes, or …

Structural and mechanical reliability analysis often face the problem that probability
distributions of the input variables are known with imprecision. This latter is normally …

The use of an adaptive iterative sampling method is proposed to analyze the post-buckling
reliability of stiffened composite panel structures. First, a post-buckling yield strength model …

Structural reliability analysis should often face the problem that there is uncertainty about the
probabilistic specification of the input random variables implied in a specific problem. In the …

A novel efficient methodology for probabilistic material reliability analysis considering fine-
scale microstructure stochasticity is proposed in this paper. Integrated computational …

Calculating probability of failure and reliability sensitivity for a structural system with
dependent truncated random variables and multiple failure modes efficiently is a challenge …