Only the worst-case scenario is considered in most studies when conducting reliability-
based design optimization under hybrid uncertainties including epistemic uncertainty and …

Epistemic uncertainty widely exists in the early design stage of complex engineering
structures or throughout the full-life cycle of innovative structure design, which should be …

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

This paper proposes an efficient Kriging-based subset simulation (KSS) method for hybrid
reliability analysis under random and interval variables (HRA-RI) with small failure …

For the nonlinear dynamic analyses of complex mechanical components, it is necessary to
apply efficient modeling framework to reduce computational burden. The accurate surrogate …

Subset simulation (SS) is a powerful reliability analysis method by transforming a rare failure
event into a sequence of multiple intermediate failure events with larger probabilities …

Abstract The Most Probable Point (MPP) is typically searched by transforming the basic
random variables from original to standard normal space in the traditional first order …

In this paper, the adaptive importance sampling (AIS) method is extended for hybrid
reliability analysis under random and interval variables (HRA-RI) with small failure …

Due to the limitation of measured data, the random and epistemic uncertainties must be
simultaneously handled for the reliability analysis of curvilinear aircraft stiffened panels with …

The planetary gearbox is an important part of the wind turbine. There are many random
uncertain factors in the process of design, production, installation, and use, and these …