To improve the computational cost and accuracy for the multi-objective reliability design of
complex structures, a synchronous modeling concept is proposed by introducing matrix …

High-dimensional reliability analysis remains a grand challenge since most of the existing
methods suffer from the curse of dimensionality. This paper introduces a novel high …

High-dimensional reliability analysis is still an open challenge in structural reliability
community. To address this problem, a new sampling approach, named the good lattice …

An improved reliability method, ie, AL-AS-GPR-MCS, is developed taking advantage of
active subspace (AS)-based dimension reduction technique, Gaussian process regression …

In structural reliability analysis, Kriging-based adaptive analysis approaches considerably
improve the analysis's efficiency by utilizing proper learning strategies. However, the time …

For wave energy converters (WECs), wind turbines, etc., estimation of response extremes
over a selected exposure time is important during design. Sources of uncertainty arising …

In this paper, a single-loop approach for time-variant reliability evaluation is proposed based
on a decoupling strategy and probability distribution reconstruction. The most attractive …

Purpose Assessing the failure probability of engineering structures is still a challenging task
in the presence of various uncertainties due to the involvement of expensive-to-evaluate …

Kriging-based adaptive structural reliability analysis methods can replace the structural
performance function and perform reliability analysis accurately and efficiently by using …

The first-order reliability method (FORM) is a prevalent method in the structural reliability
community. However, when solving the high-dimensional problem with a highly nonlinear …