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Wyszukujesz frazę "arch dam" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Feasibility study of Dez arch dam heightening based on nonlinear numerical analysis of existing dam
Autorzy:
Hariri-Ardebili, M. A.
Mirzabozorg, H.
Powiązania:
https://bibliotekanauki.pl/articles/231238.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
tama łukowa
Dez
model numeryczny
analiza nieliniowa
ocena bezpieczeństwa
kombinacja obciążenia
arch dam
numerical model
nonlinear analysis
safety evaluation
load combination
Opis:
The Dez dam was commissioned in 1963 and since sediments accumulated in the reservoir up to an elevation of approximately 15m below the intake of the power tunnel. One of the possible measures to improve operation of the reservoir is by heightening of the existing dam. This paper describes the conducted procedure for static and thermal calibration of this 203m dam in Iran based on micro geodesies measurements. Also the nonlinear response of existing dam is investigated under maximum credible earthquake ground motions considering joint behavior and mass concrete cracking and safety of dam is evaluated for possible heightening. For thermal calibration of provided numerical model, transient thermal analysis was conducted and results were compared with thermometers records installed in central block. In addition, for static calibration; thermal distribution within dam body, dam self weight, hydrostatic pressure and silt load applied on the 3D finite element model of dam-reservoir-foundation were considered. Results show that the distribution of stresses will be critical within dam for heightening case under seismic loads in MCL.
Źródło:
Archives of Civil Engineering; 2013, 59, 1; 21-49
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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
    Wyświetlanie 1-2 z 2

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