Reliability-based design optimization (RBDO) algorithm is to minimize the objective under
the probabilistic factors. While gradient-based and classical evolutionary RBDO algorithms …

Reliability analysis is time consuming, and high efficiency could be maintained through the
integration of the Kriging method and Monte Carlo simulation (MCS). This Kriging-based …

When limit-state functions are highly nonlinear, traditional reliability methods, such as the
first-order and second-order reliability methods, are not accurate. Monte Carlo simulation …

High temperature thermal storage technologies that can be easily integrated into future
concentrated solar power plants are a key factor for increasing the market potential of solar …

Reliability sensitivity analysis plays an essential role in structural reliability design,
especially for reliability-based design optimization (RBDO). However, for some complex and …

This textbook systematically introduces the theories, methods, and algorithms for
geotechnical reliability analysis. There are a lot of illustrative examples in the textbook such …

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

In this study, an effective method for reliability-based design optimization (RBDO) is
proposed enhancing sequential optimization and reliability assessment (SORA) method by …

This paper proposes a new active learning method named as optimum-pursuing method
(OPM) from the viewpoint of optimization theory, which aims to provide an effective tool for …

First‐order reliability method (FORM) has been mostly utilized for solving reliability‐based
design optimization (RBDO) problems efficiently. However, second‐order reliability method …