The purpose of this article is to demonstrate the application of probabilistic neural networks (PNNs) as a classification tool in the slope stability estimation. PNNs are applied to estimate slope stability according to the slope geometric shapes and soil mechanical parameters. Unlike other neural network training paradigms, PNNs are characterized by high training speed and their ability to pro...

in this paper, the effect of bedrock inclination on seismic performance of slopes is investigated. the study was conducted based on dynamic analysis of different slopes, evaluation of the earthquake acceleration in sliding mass, and calculating the permanent displacement of the slope, using newmark sliding block. the investigation indicates that variation of the bedrock inclination may cause th...

In order to investigate the safety and stability of loess high slope under dynamic ramming, MatDem software was used simulate process heavy rammer compacting spot which 11 m away from toe slope. The applied with different energies 10000 kN·m, 8000 6000 kN·m. this way, action tamping can be determined. results show that presented circular landslide damage by compaction. Under same ramming times,...

In this paper, by combining the geographic information systems ~GIS! spatial analysis function and a hydrologic analysis and modeling tool with a column-based three-dimensional ~3D! slope stability analysis model, a new GIS grid-based 3D deterministic model has been developed for slope stability analysis. Assuming the initial slip as the lower half of an ellipsoid, the identification of the 3D ...

This paper focuses on a stability analysis related to highway constructed slope with high shear potential supported by the piles. For this purpose, series of two-dimensional simulations were carried out employing finite element method. In study, in order provide current state topography, numerical model was created based data obtained from field and laboratory tests. It is aimed define safety f...