We live in an environment of ever-growing demand for transport networks, which also have
ageing infrastructure. However, it is not feasible to replace all the infrastructural assets that …

Second-order reliability methods are commonly used for the computation of reliability,
defined as the probability of satisfying an intended function in the presence of uncertainties …

Active learning methods have recently surged in the literature due to their ability to solve
complex structural reliability problems within an affordable computational cost. These …

The reliability analysis of complex structures usually involves implicit performance function
and expensive-to-evaluate computational models, which pose a great challenge for the …

To reduce the computational burden for structural reliability analysis involving complex
numerical models, many adaptive algorithms based on surrogate models have been …

A major issue in the structural reliability analysis is to determine an accurate estimation
result of the failure probability ideally based on a small number of model evaluations. In this …

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

To accurately evaluate the safety risk status of buildings adjacent to karst shield construction
areas, a safety evaluation standard for buildings adjacent to shield construction in karst …

This paper proposes a new positioning accuracy reliability analysis method based on the
differential kinematics and saddlepoint approximation to evaluate the influence of kinematic …

Considering the intricate correlation among uncertain parameters from multiple sources in
engineering practice, the bounded region describing parameter uncertainty displays …