LOAD HISTORY DEPENDENT RELIABILITY ANALYSIS OF STRUCTURAL SYSTEMS : Reliability function of structural systems under repeated loads

Reliability Analysis of Structural Systems based on Universal Generating Function

As an important tool for performance assessment in multi-state systems, the universal generating function approach is introduced and developed aiming at strength reliability analysis of structural systems. Static reliability models of statically determinate and statically indeterminate systems are built by constructing special generating functions, which are used to describe probability distrib...

Generating function approach to reliability analysis of structural systems

The generating function approach is an important tool for performance assessment in multi-state systems. Aiming at strength reliability analysis of structural systems, generating function approach is introduced and developed. Static reliability models of statically determinate, indeterminate systems and fatigue reliability models are built by constructing special generating functions, which are...

Analysis of structural reliability under parameter uncertainties

Formulation of structural reliability requires selection of probabilistic or physical models, which usually involve parameters to be estimated through statistical inference — a process that invariably introduces uncertainties in parameter estimates. The measure of reliability that incorporates these parameter uncertainties is termed the predictive reliability index. Methods for computing this m...

Reliability-Based Optimization of structural systems

Reliability sensitivity analysis for structural systems in interval probability form

Reliability sensitivity analysis is used to find the rate of change in the probability of failure (or reliability) due to the changes in distribution parameters such as the means and standard deviations. Most of the existing reliability sensitivity analysis methods assume that all the probabilities and distribution parameters are precisely known. That is, every statistical parameter involved is...