%A Kaliszuk, Joanna %D 2017 %T Hybrid Monte Carlo method in the reliability analysis of structures %K %X The paper develops the idea of [8], i.e., the application of Artificial Neural Networks (ANNs) in probabilistic reliability analysis of structures achieved by means of Monte Carlo (MC) simulation. In this method, a feed-forward neural network is used for generating samples in the MC simulation. The patterns for network training and testing are computed by a Finite Element Method (FEM) program. A high numerical efficiency of this Hybrid Monte Carlo Method (HMC) is illustrated by two examples of the reliability analysis that refer to a steel girder [4] and a cylindrical steel shell [2]. %U https://cames.ippt.pan.pl/index.php/cames/article/view/115 %J Computer Assisted Methods in Engineering and Science %0 Journal Article %P 205-216 %V 18 %N 3 %@ 2956-5839 %8 2017-01-25