Numerical methods play a dominant role in structural reliability analysis, and the goal has
long been to produce a failure probability estimate with a desired level of accuracy using a …

Line sampling (LS) has proved to be a highly promising advanced simulation technique for
assessing small failure probabilities. Despite the great interest in practical engineering …

Uncertainties existing in physical and engineering systems can be characterized by different
kinds of mathematical models according to their respective features. However, efficient …

Spatial uncertainty of soil parameters has a significant impact on the analysis of slope
stability. Interval field analysis is emerging as a complementary tool of the conventional …

In practical engineering, especially in aeronautical engineering, the failure probability is
extremely rare due to the incorporation of safety factors in the mechanical design phase …

Parameters with spatial uncertainties are very common in practical engineering, which could
have a significant effect on structural performances. Different from the framework of …

This work proposes a Bayesian updating approach, called parallel Bayesian optimization
and quadrature (PBOQ). It is rooted in Bayesian updating with structural reliability methods …

Abstract his paper investigates the robust reliability design of a complex system with
imprecise model parameters. The considered system is supposed to have multiple types of …

Uncertainty analysis (UA) is the process that quantitatively identifies and characterizes the
output uncertainty and has a crucial implication in engineering applications. The research of …

针对区间不确定性分析问题, 提出一种基于径向基函数模型的自适应不确定性分析算法.
首先提出一种适用于径向基函数模型的采集函数-潜在最值函数, 并针对最大/小值问题特性将其 …