Assessment and analysis of soil slope stability is an important part of geotechnical engineering at all times. This paper examines the assessment of soil slope stability in fine-grained soils. The effect of change in shear strength (τ), shear stress (σ) and slope angle (β) on the factor of safety has been studied. It correlates shear strength with slope angle and shear stress by considering the horizontal seismic coefficients in both saturated and unsaturated conditions. The slope failure surface was considered a circular slip surface. Statistical package for social sciences (SPSS) and Slide, numerical modeling software and limit equilibrium slope stability analysis software, respectively, are used to find out the correlations between the three basic parameters. The slope angle varied from 70 to 88 degrees, which are the most critical values for slope angles, and a total of 200 analyses were performed. τ, β and σ are correlated, and the correlations are provided in the results section. The results indicate that the correlations developed between the parameters have a very close relationship. The applicability of the developed equations is above 99%. These correlations are applicable in any type of soil slope stability analysis, where the value of shear strength and factor of safety is required with the variation of slope angle and shear stress.

This paper generally deals with the slope stability analysis of soil and an easy way to stabilize the slope to achieve high shear strength. Correlations between Factor of Safety (FS) and soil parameters i.e. cohesion, friction and unit weight are developed in this paper. Correlations among factor of safeties in natural, stepped and nailed form are also developed using linear regression analysis. Soil is not a homogeneous material and its properties are changing in different conditions and in different places. In case of slopes, there are many ways to stabilize it by nailing or stepping techniques. In this paper, both these methods are investigated in detail and compared to each other to know that which method gives better result. The graphs which shows the percent improvement of safety value are provided in the result section. This paper is providing a summary of the slopes safety issues having different soil properties. A software namely Slide is used for Limit Equilibrium (LE) analysis of the pre-defined soil slope model. For correlations, MS Excel and SPSS software are used. The correlations equations are provided in the results section.

Joints lead to the uneven distribution of structural rigidity of a precast prestressed utility tunnel (PPUT) and changes in internal forces and deformation. From research perspective, bending stiffness is important as an important indicator to evaluate the performance of PPUT joints and an important factor to evaluate the overall mechanical properties of PPUT structures. After considering the actual structural form of a transverse joint section and the characteristics of force deformation, a mechanical model that can characterize the joint section from force to failure and the corresponding analytical expressions were established using the internal force balance and deformation coordination conditions. A sensitivity analysis of the factors affecting the bending stiffness of joints was carried out using numerical simulation methods. The theoretical calculation results were compared with the numerical simulation results. Finally, according to the obtained trend of bending stiffness change, a two-stage bending stiffness method is proposed for the transverse joints of PPUT. The results of the study provide a reference for the design and theoretical analysis of PPUT.

There are various slope stability analysis methods normally used to find the factor of safety of a slope. All the methods have different analysis techniques and formulation, due to which the results also varies in some cases. In this research article, all those methods are compared and the results are provided in graphical form to show the variation. The results can be used in any slope stability project to find the optimum value for factor of slope safety and hence can minimize the risk while designing any slope in hilly areas or in case of designing an earthen dam

This paper examines the impact on Factor of Safety (FS) value due to the variation in distributed load (L_D), Crest length (C_L), shear strength (τ), and shear stress (σ) both in seismic and non-seismic conditions. The main purpose of this paper is to develop correlations between these parameters, which can be used in any slope stability analysis design project. Forty number of analyses are performed by considering different soil material properties. Slope stability analysis is performed using Slide software and correlations are developed using Statistical Package for Social Sciences (SPSS) software as well as with the help of Microsoft Excel. The analysis results indicate that the seismic slope stability analysis gives optimum value for slope FS and therefore it is highly recommended to perform and give preference to seismic slope stability analysis of any soil slope to compute and recommend FS value. The main novelty of this paper are the eight new correlations. These correlations can be used in slope stability projects like earthfill dams design, embankments, or any slope design project or case study to know about the slope factor of safety in detail.

This study examines the slope stability analysis of a soil slope to correlate the Factor of Safety (FS) with the slope angle (b). Using linear regression analysis, a study is performed to predict FS for slopes in different conditions, such as saturated, unsaturated, seismic and non-seismic states. A total of 400 analysis are performed. The mechanical properties of slope is taken from the experimental analysis such as Atterberg limits, sieve analysis, compaction and other required tests. The slope angle is changed linearly and FS is calculated to develop correlations. In seismic analysis, the horizontal seismic coefficient is taken as 0.3, which is the maximum value for horizontal load in case of seismic analysis. The coefficient of determination (R2) for all the developed equations is higher than 99%. All the developed correlations are provided in the results section. These correlations are applicable in slope stability projects to find the slope safety in advance. A landslide in Karachi is considered as a case study and these correlations are applied to know about the future stability of the slope, which gives perfect result.