Probabilistic interval reliability 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...

Interval assessments in structural reliability using the imprecise Dirichlet model

A new approach to structural reliability analysis under incomplete information about the stress and strength in the form of intervals provided by experts or obtained as a result of imprecise measurements is proposed in the paper. The approach takes into account the possible fact that the number of judgments or observations may be rather small. It is shown that interval-valued information about ...

Reliability-Based Optimization of structural systems

Hybrid Model for Structural Reliability With Imprecise Probabilistic Characteristics

-A hybrid model of a probabilistic and non-probabilistic reliability theory is developed to predict the structural reliability when the probabilistic characteristics parameters of structural properties are imprecisely known. In this study, these parameters are described by appropriate ellipsoid. Interval of the structural reliability will be sought, i.e. estimating the worst possible reliabilit...

Interval reliability of typical systems with partially known probabilities

Most probabilistic methods of the system reliability analysis assume that the component lifetime distributions are known precisely and the system components are independent. The paper considers reliability analysis of typical systems when the above assumptions are violated and there is only some partial information about the component lifetime distributions. The analysis is based on considering...