Reliability analysis of shell truss structure by hybrid Monte Carlo method
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Kielce University of Technology, Kielce, Poland
Submission date: 2019-11-29
Final revision date: 2020-02-03
Acceptance date: 2020-02-24
Online publication date: 2020-04-15
Publication date: 2020-04-15
Corresponding author
Beata Potrzeszcz-Sut   

Faculty of Civil Engineering and Architecture, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314, Kielce, Poland
Journal of Theoretical and Applied Mechanics 2020;58(2):469–482
The paper presents an example of reliability analysis of shell structures susceptible to stability loss from the condition of node snapping. In the reliability analysis of the structure, uncertain parameters of the task are represented by uncorrelated random variables. The approach used in the paper is an extension of the idea, which assumes the use of Neural Networks (NNs) in Monte Carlo (MC) simulations to analyze the reliability of the structure. For this purpose, it was necessary to build a simple hybrid system formed with the two independent sequentially working Finite Element Method (FEM) and Neural Networks applications.
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