The present work reviews the implementation of adaptive metamodeling for reliability
analysis with emphasis in four main types of metamodels: response surfaces, polynomial …

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

Reliability analysis and design optimization of structures have been gaining a significant
amount of attention in recent decades. Most of the current studies are based on linear …

Time-dependent reliability-based design optimization is an effective tool to guarantee a high
reliability of the product during the full life cycle. However, the necessarily repeated …

Many systems have multiple stochastic responses, which correspond to multiple Limit-State
Functions (LSFs). Over the past decade, researches on adaptive Kriging-based failure …

Tristructural isotropic (TRISO)-coated particle fuel is a robust nuclear fuel and determining its
reliability is critical for the success of advanced nuclear technologies. However, TRISO …

The function of failure probability varying with distribution parameters of random inputs is
referred as failure probability function (FPF), it is often required in reliability-based design …

Time-dependent system kinematic reliability of robotic manipulators, referring to the
probability of the end-effector's pose error falling into the specified safe boundary over the …

Failure-probability (FP) global sensitivity (FP-GS) can measure the average effect of random
input on FP, and it is significant in reliability-based design optimization. The key of FP-GS is …

Digital twin (DT) technology is a powerful tool that accurately represents physical entities
and provides real-time monitoring and reliability analysis capabilities for decision-makers …