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1 Journal of Applied Mathematics and Computational Mechanics

1 2019

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Critical seismic coefficients of homogeneous earth dams prediction by a FELA-ANN approach

Abdelatif Zeroual, Ali Fourar, Messaoud Djeddou

Journal of Applied Mathematics and Computational Mechanics

2019

Vol. 18, nr 3

5--16

In this research study, a combination of lower and upper bound finite element limit analysis (FELA) and artificial neural network (ANN) has been adopted in order to forecast critical seismic coefficients (kc) of homogeneous earth dams (HED) subjected to pseudo-static seismic loading. To achieve this, the results of kc obtained by OptumG2 software were used in the development of the ANN and MR models. The ANN models have shown higher prediction performance than the MR models based on the performance indices. The most appropriate architecture was found 8-14-1, as this gave the best kc predict with the minimum statistical measures of error and the high determination coefficient (> 99%). Consequently, the ANN model can be used to easily and accurately predict kc value of the HED as the best substitute for the conventional methods.