Figure - available from: Modeling Earth Systems and Environment
This content is subject to copyright. Terms and conditions apply.
Source publication
The safety of hydraulic embankment structures relies entirely on the proper modeling of earth dams subjected to seismic loading. Numerical resolution methods using finite elements (FEM) and finite differences (FDM) have made it possible to analyze the behaviour of the structure’s materials under various loading conditions, using models based on con...
Similar publications
A modified constitutive model is proposed in the current study for analyzing plastic concrete in cut-off walls using a Finite Difference Modeling (FDM) approach by making modifications to the friction, dilation, and cohesion mobilization functions of the current constitutive models. The new proposed model is capable of simulating the hardening–soft...
Citations
... Soroush and Rayati [18] studied numerical analysis for Karkheh dam with central clay core and cut off wall on its foundation with finite element code PLAXIS, the studies shows that the peak acceleration for Karkheh dam is 0.4 g and it was used only the first twenty seconds. It was concluded from this study the effect of earthquake on cut off wall and the maximum horizontal deformation of cut off wall happens in higher elevation of cut off wall and this deformation at the top about 54 cm that means settlement in foundation that could be increase the displacement [19,20]. ...
... The program supports linear strength, nonlinear strength, and strain-softening models. The dynamic water pressure is applied using the Westergaard additional mass method (Seghir et al. 2024). ...
To address the problem of the small failure probability of highly reliable structures such as rockfill dams, marine platforms and super high-rise buildings, in this paper, a method to estimate the extreme value distribution of the earth and rock dam response under nonstationary random seismic excitation is presented, and the small failure probability based on the SGLD model is analysed. First, a preliminary estimation of the extreme value distribution based on the kernel density estimation is made and then utilized as the raw data. Second, the main body of the extreme value distribution is obtained by combining the least squares method and a fitting process based on the SGLD model. Finally, the tail of the extreme value distribution is acquired by fitting to a quadratic equation. By using an example of earth-rock dam engineering, a comparison between the direct kernel density estimation method and the method proposed in this paper is performed. The results showed that the proposed method is closer to the extreme value distribution and probability of exceedance curves calculated by Monte Carlo simulation, which verified its effectiveness and accuracy.
