- Tytuł:
- Critical seismic coefficients of homogeneous earth dams prediction by a FELA-ANN approach
- Autorzy:
-
Abdelatif, Zeroual
Ali, Fourar
Messaoud, Djeddou - Powiązania:
- https://bibliotekanauki.pl/articles/122272.pdf
- Data publikacji:
- 2019
- Wydawca:
- Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
- Tematy:
-
critical seismic coefficient
pseudo-static analysis
finite element limit analysis
artificial neural network
homogeneous earth dams
sztuczna sieć neuronowa
jednorodne zapory ziemne
współczynnik sejsmiczny - Opis:
- 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.
- Źródło:
-
Journal of Applied Mathematics and Computational Mechanics; 2019, 18, 3; 5-16
2299-9965 - Pojawia się w:
- Journal of Applied Mathematics and Computational Mechanics
- Dostawca treści:
- Biblioteka Nauki
Artykuł