Monte Carlo methods have attracted constant and even increasing attention in structural
reliability analysis with a wide variety of developments seamlessly presented over decades …

Reliability analysis plays a critical role in the design optimization, operation, and
maintenance of tunnel structures. While classical mechanism models have been …

The accurate estimations of the failure probability with low-computational burden play a vital
role in structural reliability analyses. Due to high-calculation cost and time-consuming Monte …

Computing the sensitivity vector in the traditional first order reliability method may provide
inaccurate reliability outcomes for discrete performance functions and inefficient …

The main objective of this paper is to develop accurate novel frameworks for the estimation
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …

For structural reliability analysis with low failure probability, traditional simulation methods
are time consuming approaches, which is a great challenge for estimating the failure …

Graded lattice sandwich structures (GLSSs) enable superior structural performances due to
the continuously-varying configurations and properties of lattices in space. This paper …

The classical reliability analysis methods, due to the ever-increasing complexity of
engineering structure, may lead to higher and higher calculation errors and costs. The …

This paper proposes a multiscale concurrent topology optimization method for design of
hierarchal multi-morphology lattice structures (HMMLSs), which features in the Kriging …

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