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

• Autorzy: Abdelatif Zeroual , Ali Fourar , Messaoud Djeddou

Identyfikatory

DOI

10.17512/jamcm.2019.3.01

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

critical seismic coefficient; pseudo-static analysis; finite element limit analysis; artificial neural network; homogeneous earth dams

PL

sztuczna sieć neuronowa; jednorodne zapory ziemne; współczynnik sejsmiczny

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2019
• Tom: Vol. 18, nr 3
• Strony: 5--16
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Abdelatif Zeroual

• Faculty of Technology, Hydraulics Department, University of Batna 2, Batna, Algeria

autor

Ali Fourar

• Faculty of Technology, Hydraulics Department, University of Batna 2, Batna, Algeria

autor

Messaoud Djeddou

• Research Laboratory in Subterranean and Surface Hydraulics (LARHYSS), Faculty of Sciences and Technology, Mohamed Khider University, Biskra, Algeria

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).