3-D CRITICAL SLIP SURFACE BASED ON ARTIFICIAL INTELLIGENT

Abstract

The problem of slope stability is an important issue for human and structural safety.  To prevent landslides, the stability analysis of the three-dimensional (3D) slope is essential, but the most important and difficult problem is how to determine the 3D critical slip surface with the minimum safety factor in the earth slope. The critical slip surface of two-dimensional 2D soil slope stability was calculated by several researchers using optimization techniques. The Grey Wolf optimization technique (GWO) was applied to evaluate the critical slip surface (CSS) of soil slopes. This is one of the optimization techniques used to solve several engineering problems to determine the critical slip surface and the corresponding 3D soil slope safety factor. As the fundamental particle, a general rotating spherical shape was introduced for 3D slope stability research. The results showed the efficiency and effectiveness of GWO in evaluating the (CSS) of 3D soil slope compared with other optimization methods, as the safety factor is lower than the other results, and the failure form is much more close to the natural slope shape. By using GWO the critical slip surface of a slope can be located in a larger scope and more rapidly than the previously presented methods.