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EN
This paper presents the results of experimental and numerical analysis in terms of the finite element method of plating components of aircraft load bearing structures. The subject matter of the study was composite panels with stiffeners in the form of a regular grid of oriented longitudinal elements in accordance with the directions of the principal stresses in the covering. The analysis was conducted in the buckling states of structural deformation which showed that structures with stiffeners exhibit much more favorable behavior in buckling deformation states than in laminar structures. This translates into stress distributions and their gradients, which are milder in forms of stiffened structures.
EN
The paper presents the application of a hybrid program that integrates finite element method (FEM) and artificial neural network (ANN) for nonlinear analysis of plane truss. ANN, used for the solving the inverse problem has been formulated in ‘off line’ mode. Learning and testing of ANN were carried out using pseudo empirical data. The network formed thereby constitutes the neural material model (NMM), describes the Ramberg-Osgood nonlinear physical relationship. NMM makes it possible to determine the stress and tangential module during cyclic loading of the structure. Numerical tests indicate that the developed FEM/ANN program may be applied to analyse other boundary problems in the uniaxial stress state.
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