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Slope stability refers to the condition of inclined soil or rock slopes to withstand or undergo movement; the opposite condition is called slope instability or slope failure. The stability condition of slopes is a subject of study and research in soil mechanics , geotechnical engineering , and engineering geology .
Slope stability analysis is a static or dynamic, analytical or empirical method to evaluate the stability of slopes of soil- and rock-fill dams, embankments, excavated slopes, and natural slopes in soil and rock.
Vegetation and slope stability are interrelated by the ability of the plant life growing on slopes to both promote and hinder the stability of the slope. The relationship is a complex combination of the type of soil , the rainfall regime , the plant species present, the slope aspect , and the steepness of the slope.
The Sarma method is called an advanced and rigorous method of static and seismic slope stability analysis. It is called advanced because it can take account of non-circular failure surfaces. Also, the multi-wedge approach allows for non-vertical slices [5] and irregular slope geometry. [6]
UTEXAS is a slope stability analysis program written by Stephen G. Wright of the University of Texas at Austin. The program is used in the field of civil engineering to analyze levees, earth dams, natural slopes, and anywhere there is concern for mass wasting. UTEXAS finds the factor of safety for the slope
Following the rockslide, CDOT closed parts of two highways while crews assessed the slide and ridgeline "to determine stability and clean-up efforts." The agency advised travelers to seek ...
Newmark analysis does not calculate actual displacement, but rather is an index value that can be used to provide an indication of the structures likelihood of failure during a seismic event. It is also simply called Newmark's analysis or Sliding block method of slope stability analysis.
The developers of SVSLOPE have implemented all of the classic features traditionally found in slope stability software as well as an interesting list of new features. The following is a list of some of the more distinct features of SVSLOPE: Probabilistic analysis; One-way or two-way sensitivity analysis; Spatial variability using random fields