The present article deals with the stochastic approach for natural frequency (NF) analysis of functionally graded (FG) plates by employing polynomial neural network (PNN) surrogate model combined with finite element (FE) method. The surrogate model for NF analysis of FG plates is validated with the original FE method. Both individual and mixed variation of material properties are taken into account. The present PNN model significantly rises the computational efficiency, and the computational cost decreased in comparison to Monte Carlo Simulation (MCS).
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