- Tytuł:
- Combination of artificial neural networks and numerical modeling for predicting deformation modulus of rock masses
- Autorzy:
-
Tayarani, Narges Saadat
Jamali, Saeed
Zadeh, Mehdi Motevalli - Powiązania:
- https://bibliotekanauki.pl/articles/219719.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
sztuczne sieci neuronowe
symulacja numeryczna
metoda różnic skończonych
masy skalne
artificial neural networks
numerical simulation
finite difference method
deformation modulus of rock mass
arch dam - Opis:
- The deformation modulus of the rock mass as a very important parameter in rock mechanic projects generally is determined by the plate load in-situ tests. While this test is very expensive and time-consuming, so in this study a new method is developed to combin artificial neural networks and numerical modeling for predicting deformation modulus of rock masses. For this aim, firstly, the plate load test was simulated using a Finite Difference numerical model that was verified with actual results of the plate load test in Pirtaghi dam galleries in Iran. Secondly, an artificial neural network is trained with a set of data resulted from numerical simulations to estimate the deformation modulus of the rock mass. The results showed that an ANN with five neurons in the input layer, three hidden layers with 4, 3 and 2 neurons, and one neuron in the output layer had the best accuracy for predicting the deformation modulus of the rock mass.
- Źródło:
-
Archives of Mining Sciences; 2020, 65, 2; 337-346
0860-7001 - Pojawia się w:
- Archives of Mining Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł