This paper presents a survey on the development and use of Artificial Neural Network (ANN)
models in structural reliability analysis. The survey identifies the different types of ANNs, the …

Modeling a mechanical system can be defined as the mathematical idealization of the
physical processes governing its evolution. This requires the definitions of basic variables …

A study on the applicability of different kinds of neural networks for the probabilistic analysis
of structures, when the sources of randomness can be modeled as random variables, is …

Reliability sensitivity analysis aims at studying the influence of the parameters in the
probabilistic model onto the probability of failure of a given system. Such an influence may …

This paper explores the applicability of neural networks for analyzing the uncertainty spread
of structural responses under the presence of one-dimensional random fields. Specifically …

A state of art on the application of neural networks in Stochastic Mechanics is presented.
The use of these Artificial Intelligence numerical devices is almost exclusively carried out in …

ABSTRACT A novel concept of multiple deterministic analyses is proposed to design safer
and more damage-tolerant structures for seismic excitation. The underlying risk is estimated …

This newsletter affords a new analytic calculation for the shovel–dumper combination in
open cast limestone mine evolution of the only and two galaxy probability density function …

A novel reliability analysis concept for large Structural/Mechanical systems represented by
finite elements using multiple deterministic analyses is presented in this paper. The intent is …

W prezentowanej pracy można wyróżnić dwa podstawowe obszary tematyczne. Pierwszy z
nich to użycie sieci neuronowych warstwowych do modelowania konstytutywnego oraz do …