Create a free account and view content that fits your specific interests in geotechnical engineering __Learn More__

Contents [show]

As discussed in the previous chapters of the Geoengineer.org series on Slope Stability, a single failure surface can be analyzed via various methods that evolved over the years to derive its Factor of Safety (FoS). However, when assessing the stability of either man-made or natural slopes, an engineer must select the most critical surface, i.e., the one with the lowest FoS. After the selection of this surface, designers must decide whether the slope should be reinforced to reach a minimum required FoS. There have been cases in which projects radically changed due to slope stability considerations with the decision-making process being both a technical and a financial issue.

Before the evolution of computational tools, the selection of the critical failure surface was a complex issue that requiring multiple, time-consuming analyses conducted by hand. Nonetheless, technological advancements have enabled the execution of numerous analyses. Hence, the critical failure surface and its FoS can be readily selected after several iterations. In two-dimensional (2D) models, the time needed to detect this surface is negligible, while in three-dimensional (3D) analyses the process is more time-consuming but not to a large extent.

The steps that are followed to conduct a search for the critical failure surface typically include:

**1. **** Definition of the geometry of the slope**: In the case of a 2D analysis, a representative cross-section of the model is derived. In a 3D analysis, Digital Elevation Models (DEMs) of the ground can be utilized. The extents of the geometry (left and right borders) are arbitrarily selected so that they do not impact the failure surfaces (boundary effects). It is critical to avoid constraining the model since many potential failure surfaces can be excluded from the critical search analysis (

**2. **__ Assignment of soil properties__: The properties of the ground are inserted in the analysis. These include the

If the model contains more than one soil layer, their geometry must be incorporated. In 2D models, the separation between two layers is defined by one or more line segments whilst in 3D models, they could be segregated via a plane or a more complex geometric structure.

**3.** __ Import groundwater conditions__: The effect of the groundwater on the stability of a slope is critical. Pore-water pressure build-up tends to decrease the normal effective strength of the ground reducing its shear strength. The groundwater conditions are usually taken into consideration by:

An example of how the model should look after the completion of the first 3 stages is given in **Figure 2**.

**4. **__ Consideration of external or support loads__: The effect of external loads or support added to the slope must be taken into consideration. The external loads may be static (e.g., a structure founded on the top of the slope) or dynamic (e.g., the impact of an earthquake) and must be incorporated in the model as they affect a slope’s FoS. The support loads are usually considered once the derived FoS is found inadequate hence the slope is reinforced. Some of the measures that apply a support load include

**5. **__ Definition of slope stability method for analysis__: The selection of the slope stability method highly impacts the results of the analysis. Most slope stability methods have been incorporated into most commercially available software. The

**6. **__ Selection of the grid for failure surface search__: The next step involves the determination of a grid from which the derivation of the centers for all the failure surfaces to be analyzed, is made. The grid may be selected from the user or be auto-generated. In the first case, an engineer must have the knowledge to derive an adequate grid that would certainly include the critical surface.

**7. **__ Compute the FoS__: After all the parameters of the model are well-defined, the analysis may proceed to derive the surface with the lowest FoS. Numerous failure surfaces with multiple radii and with their centers located in the selected grid, are considered. Eventually, the critical surface and its FoS will be selected.

**8.** __ Interpretation of the results__: The interpretation of the results requires engineering judgement and is a crucial part of the analysis. First of all, an engineer must identify insignificant failure modes that result in low factors of safety. For example, a very shallow failure surface may have minor effects on the project of interest, hence, it could be more convenient to neglect than to apply support measures or radically change the design. Moreover, the geometry of the derived failure surface must satisfy some requirements. For instance, if the failure surface is deeper than anticipated, the designers must consider whether the soil properties assumptions are valid. It is highly probable that the mechanical properties of the ground increase with depth, hence, the derived surface could present a higher FoS.

Once an engineer selects a valid failure surface, its stability is assessed. If the FoS of that surface is adequate then no measures are required. However, when the FoS is lower than required, then support measures like those included in step 4 need to be considered. Other stabilization techniques include the construction of retaining walls or structures at the toe of the slope, as well as drainage of the slope.

It is noted that even if the FoS is greater than one (theoretically the potential failure surface is stable), the design FoS of an engineering project is typically higher in favor of conservatism.

The FoS practically defines when a slope is unstable (FoS < 1.0). If the FoS was a deterministic variable then any value higher than 1.0 would be sufficient to classify a slope as stable. However, the uncertainties incorporated in the derivation of the FoS (the method of analysis, the physical and mechanical properties of the ground, the geometry of the ground, the seismic load and others) impose a degree of uncertainty in its final value. Therefore, a probabilistic analysis is required to determine a confidence interval for the FoS.

Since a probabilistic model is used, the question is not whether a slope is stable or unstable but what is the probability of a slope to fail. Depending on the significance of a project, engineers derive a tolerable probability of failure for the slope. An example of such an approach adopted by the U.S. Washington State Department of Transportation (WSDOT) is given in **Table 1**.

**Table 1** provides the maximum accepted probability of failure given the specific conditions of a project. For example, a probability of failure greater than 10% is unaccepted in most cases. A 1% probability of failure is accepted in slopes where the consequences are low and the stabilization costs are higher than the repair costs needed if the slope fails. However, only a 0.01% probability of failure is accepted once human lives are endangered.

Here, we demonstrate an * indicative* procedure that is followed in order to derive the design FoS. It should be noted that regulations change according to the standards applicable to each country, as well as based on the significance of the project.

Various standards/codes have been developed to derive a minimum FoS that will be adequate for a given slope and project. Eurocode 7 suggests an approach known as the *partial factor principle*. This principle involves placing partial factors on all the acting loads and the material properties. Those factors act in favor of safety increasing the parameters that destabilize the slope and vice versa. The partial factors that are applied to forces and to the soil’s shear strength parameters (assuming the Mohr-Coulomb failure criterion) and unit weight according to BS EN 1997-1:2004 are presented in **Tables 2** and **3**, respectively. The equations that transform the raw parameters into design parameters are:

and

Where:

** F** and

* γ_{f}* and

* F_{d}* and

**Tables 1** and **2** include 2 sets of combinations. *Combination 1* incorporates sets A1 and M1 hence, the unfavorable partial factors of permanent and variable forces are applied while the soil parameters do not change (all the partial factors are equal to 1.0). In *combination 2* (sets A2 and M2), the unfavorable partial factors are applied to the soil parameters, the permanent loads remain constant and the unfavorable variable loads increase by 1.30.

Combination 2 tends to be more critical in almost all situations and thus it is the one from which the lowest FoS derives.

In static conditions, the minimum FoS for the critical failure surface must be greater than 1.25 after incorporating the aforementioned partial factors. If there is high uncertainty on the parameters of the analysis (e.g., shear strength parameters of the ground), a probabilistic analysis (e.g., a Monte Carlo model) can be used to determine the probability of failure given the uncertainty in the input parameters. In general, the greater the uncertainty the higher the required FoS to achieve a minor probability of failure.

When seismic slope stability analysis is conducted, the equivalent minimum factor of safety may be reduced to 1.10. An earthquake force is a dynamic load that lasts for a short period hence a lower FoS can be assumed. Consequently, even if the FoS of a potential failure surface temporarily drops below 1.0, the ground would be displaced but not to an extent of complete failure. To derive that seismically induced displacement, the Newmark's sliding block analysis, among other methods, is used.

The critical failure surface must comply with both static and seismic required factors of safety. Moreover, it is probable that the critical surface changes when the seismic load is applied. In that case, both critical surfaces must be assessed.

Geotechnical Design Manual (2021). Washington State Department of Transportation; Environmental and Regional Operations, Construction Division, Geotechnical Office; M 46-03.14, June 2021.

Samtani, N.C, Nowatzki, E.A. (2006). Soils and Foundations Reference Manual Volume 1. U.S. Department of Transportation, Federal Highway Administration, Washington, D.C. 20590

Schuppener B. (2010). Eurocode 7 Geotechnical design. Part 1: General rules and its latest developments, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 4:1, 32-42, DOI: 10.1080/17499510902788843

Santamarina, J. C., Altschaeffl, A. G., and Chameau, J. L., (1992). Reliability of Slopes: Incorporating Qualitative Information,” Transportation Research Board, TRR 1343, Washington, D.C., pp. 1-5.

Salgado R. (2008). The Engineering of Foundations. ISBN: 0072500581 9780072500585. Boston: McGraw-Hill Education

Slope Stability Analysis In this chapter of the Geoengineer.org series on Slope Stability, a s...

Definition of Factor of Safety Slope stability is controlled by 2 main factors: the driving and...

As discussed in Mechanics of Slope Stability, the most widely used approach for assessing both 2-d...

The Methodology Step 2 – Iterative calibration of the base case model reproduced the observed fail...

When it comes to open pit mines, generally, the steeper the slopes, the greater the ore extraction,...

Description of Method Janbu’s Method was developed by the Norwegian Professor N. Janbu. The meth...

Assessing a slope’s stability is a challenging yet important aspect of civil engineering. In its...

Slope Failures in weakly cemented vertical cliffsSlope Failure in Metarmophic RocksHighway Slope InstabilityRock Slope Reinforcement FailureReinforced Earth WallAn Unusual Application of Soil NailsSlope StabilitySlope InclinometersIntroduction to Slope StabilityMechanics of Slope StabilitySlope Stability: Single Free-Body ProceduresSlope Stability: Introduction to the Method of SlicesSlope Stability: The Bishop Method of SlicesSlope Stability: The Janbu MethodSlope Stability: The Spencer Method of SlicesSlope Stability: Example Analysis

Slope Stability Analysis

9 pages

Limit State Design Framework for Geosynthetic Reinforced Structures - Burmister Lecture 2020, by Prof. Dov LeshchinskyMechanics of Slope StabilitySlope Stability: Critical Failure Surface & Design Factor of SafetySlope Stability: Example AnalysisSlope Stability: Introduction to the Method of SlicesSlope Stability: Single Free-Body ProceduresSlope Stability: The Bishop Method of SlicesSlope Stability: The Janbu MethodSlope Stability: The Spencer Method of Slices

Slope Stabilization

3 pages

Apr, 30, 2020 | Education #### Soil Compaction Test

May, 28, 2020 | Education #### Direct Shear Test

Mar, 21, 2020 | Education #### Step-by-Step Guide for Grain Size Analysis

May, 07, 2020 | Education #### Soil Consolidation and Oedometer Test

Oct, 21, 2019 | Education #### Unconfined Compression Test

Mar, 22, 2020 | Education #### Atterberg Limits

Jul, 15, 2020 | Education #### Measurement of Specific Gravity of Soils

Apr, 21, 2020 | Education #### Cone Penetration Testing (CPT)