A new approach to compute structural reliability is proposed. The novelty of the approach is that initial statistical information concerning the stress and strength of engineered structures is partial. Different numerous cases of state of knowledge about the stress and strength are analysed. A set of canonical analytical expressions for computing imprecise structural reliability has been obtain...

Abstract Because of manufacturing variability, the strength of a component may vary significantly and unpredictably. When a component is put into use, it is subjected to a stress, which is also unpredictable. If the strength of the component is sufficient to withstand stress, then the component is functional. Otherwise, the component fails immediately. Achieving higher reliability requires high...

This paper devoted a Bayesian and non-Bayesian estimation of the stress-strength reliability, , when X and Y two independent Type I generalized logistic distribution with common scale parameter. The maximum likelihood estimator and Bayes estimator are proposed for the stress strength reliability based on lower record values. The Bayesian and non-Bayesian confidence intervals for the reliability...

Based on the damage mechanics theory, summarized a new dynamic reliability calculation method with explicit physical meaning, which is used for researching structural dynamic reliability on cyclic stress. By using of the model of stress-strength interference, ignoring the effects of erosion and aging on the strength degradation, only consider that the change of damage leads to the effective str...

In this paper, two-stage and purely sequential estimation procedures are considered to construct fixed-width confidence intervals for the reliability parameter under the stress-strength model when the stress and strength are independent exponential random variables with different scale parameters. The exact distribution of the stopping rule under the purely sequential procedure is approximated ...

in design of experiments, analysis and identifying those variables that affect the outputs are of interest. response surface methodology is a mathematical-statistical method to optimize the experiment outputs. this method tries to find the best response levels by optimizing the design variables called factors. in many engineering applications, robust design has become the most important issues....