Sentence examples for structural reliability assessment from inspiring English sources

This simplified approach can be used for design purposes, validation of finite element analysis or structural reliability assessment where thousands of analyses of a same structure are needed.

Probabilistic Fracture Mechanics combines the mathematical methods for failure probability calculation of structural reliability assessment with the fracture mechanics failure description of crack-containing structures.

A generalization of the conditional expectation method in simulation-based structural reliability assessment is suggested.

This paper presents a new importance sampling method for efficient structural reliability assessment.

Example results based on the proposed method were compared to the results based on other structural reliability assessment methods.

This paper considers structural reliability assessment when statistical parameters of distribution functions can not be determined precisely due to epistemic uncertainty.

The goal of the reported work has been to develop a software tool that fully addresses these three aspects (availability, robustness and efficiency) to enable the designer to efficiently and accurately account for uncertainties as they might affect structural reliability and risk assessment.

The new model will facilitate structural design optimization and reliability assessment, and may be further utilized as a predictive tool to benefit in-flight operations.

In the scope of infrastructure risk assessment, structural reliability analysis leads to a challenging problem in order to deal with conflicting objectives: accurate estimation of failure probabilities and computational efficiency.

For instance, this model combined with structural reliability methods can be used for reliability assessment of structures under near-field random ground motion.

In this regard, the requirement of time-variant reliability assessment of structural durability has becoming increasingly accepted (Xiang and Zhao2007; Sarveswaran and Roberts1999; Kong et al.2002).2002