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This paper deals with the use of probabilistic methods in assessing the reliability of the planar truss support structure. Classical Monte Carlo simulation technique was chosen for calculation of failure probability in structural elements and the entire support system under assessment. Numerical calculation was applied in MATLAB software system using the random number generator and parallelization using multi-core processors. The aim of the study was to analyze the usability of MATLAB for probability calculations and probabilistic reliability assessments of load-bearing structures.

The paper compares the numerical models of and experiments with a beam. The purpose is to evaluate the nonlinear material model of a steel structure. The steel is modelled as an ideal elastic-plastic material. The FEM and eight-node isoparametric finite elements are considered in the analysis. The 3D calculations use different material constants and several approaches are being tested in order to create the computational models. The calculations are performed in the software application developed by our university.