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1 EOSC433 EOSC433 : : Geotechnical Engineering Geotechnical Engineering Practice & Design Practice & Design Lecture 7: Lecture 7: Limit Equilibrium Limit Equilibrium 1 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06) Numerical Analysis in Geotechnical Engineering Numerical Analysis in Geotechnical Engineering 2 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06) (infinite slope, method of slices, etc.) LIMIT EQUILIBRIUM CONTINUUM (finite element, finite difference, etc.) DISCONTINUUM (distinct element, DDA, etc.) HYBRID FEM/DEM
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Page 1: Numerical Analysis in Geotechnical EngineeringGeotechnical Engineering Practice & Design Lecture 7: Limit Equilibrium 1 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06) Numerical

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EOSC433EOSC433: :

Geotechnical Engineering Geotechnical Engineering Practice & DesignPractice & Design

Lecture 7: Lecture 7: Limit EquilibriumLimit Equilibrium

1 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

Numerical Analysis in Geotechnical EngineeringNumerical Analysis in Geotechnical Engineering

2 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

(infinite slope, method of slices, etc.)

LIMIT EQUILIBRIUM

CONTINUUM(finite element, finite difference, etc.)

DISCONTINUUM(distinct element, DDA, etc.)

HYBRID FEM/DEM

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Continuum Continuum ––vsvs-- DiscontinuumDiscontinuumIn weak materials such as highly weathered or closely fractured rock, and rock fills and soils, a strongly defined structural pattern no longer exists, and the shear failure surface develops along the line of least resistance. These slip surfaces generally take a circular shape.

3 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

Limit Equilibrium AnalysisLimit Equilibrium AnalysisThe most widely applied analytical technique used in geotechnical analysis is that of limit equilibrium, whereby force or/and moment equilibrium conditions are examined on the basis of statics. These analyses require information about material strength, but not stress-strain behaviour.

FS = resisting forcesdriving forces

FS > 1.0 represents a stable situationFS < 1.0 denotes failure

The typical output from a limit equilibrium analysis is the “Factor of Safety”:

DRIVING force

= shear strengthshear stress RESISTING force

(i.e.shear strength)

4 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

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Limit Equilibrium AnalysisLimit Equilibrium Analysis

5 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

Although limit equilibrium can be applied to many geotechnical problems, it has been most widely used within the context of slope stability analysis. The analysis of slope stability may beimplemented at two distinct stages:

Pre-failure analysis – applied to assess safety in a global sense to ensure that the slope will perform as intended;

Post-failure analysis – also termed back-analysis, should be responsive to the totality of processes which led to failure.

As such, analyses are undertaken to provide either a factor of safety or, through back-analysis, a range of shear strength parameters at failure.

Analysis in Geotechnical DesignAnalysis in Geotechnical Design

6 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

The fundamental requirement for a meaningful analysis should include the following steps of data collection & evaluation:

– site characterization (geological conditions);– groundwater conditions (pore pressure distribution);– geotechnical parameters (strength, deformability, permeability);– primary stability mechanisms (kinematics, potential failure modes).

… ideal order of events for a site investigation (Clayton et al., 1995).

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Analysis in Geotechnical DesignAnalysis in Geotechnical DesignGeotechnical analyses involve complex systems! Often, field data required for model input (e.g. in situ stresses, material properties, geological structure, etc.) are not available or can never be known completely/exactly. This creates uncertainty, preventing the models from being used to provide design data (e.g. expected displacements).

Such models, however, may prove useful in providing a picture of the mechanisms acting in a particular system. In this role, the model may be used to aid intuition/judgement providing a series of cause-and-effectexamples.

Situationcomplicated geologyinaccessibleno testing budget

Data none

investigation offailure mechanism(s)

simple geology$$$ spent on site investigation

complete (?)

predictive(design use)

Approach

7 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

Limit Equilibrium Limit Equilibrium –– Translational Sliding (Soils)Translational Sliding (Soils)

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One of the simpler limit equilibrium solutions is referred to as “infinite slope analysis”. Infinite slope compares the destabilizing force of gravity to the frictional and cohesive strength for shallow translational modes of slope failure. The basic assumption is that the failure plane is parallelto the ground surface, and the slip surface is long compared to its depth (i.e. approx. infinite). θθγ

φθγγ

cossin

tancos)( 2

⋅⋅

′⋅−+′=

D

DDDc

FSw

w

From this, if c’=0 (i.e. granular material) and the slope is dry (Dw/D=0), then:

θφ

tantan ′

=FS

If the water table is at surface (Dw/D=1), then:

θφ

tantan5.0

′≈FS

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Infinite Slope Analysis & GISInfinite Slope Analysis & GIS

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The simplicity of the infinite slope formulation, allows it to be easily integrated with Digital Elevation Models (DEM) and Geographic Information Systems (GIS) to enable preliminary analyses of entire valleys.

van Westen & Terlien (1996)

Limit Equilibrium Limit Equilibrium –– Translational Sliding (Rock)Translational Sliding (Rock)

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The solution for translational sliding requires that the strikes of the sliding plane and slope are parallel and that no end restraints are present. Furthermore, the solution incorporates the assumptions that the rock mass isimpermeable, the sliding block is rigid, the strength of the slide plane is given by the Mohr-Coulomb shear criterion and that all forces pass through the centroid of the sliding block.

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Limit Equilibrium Limit Equilibrium –– Translational Sliding (Rock)Translational Sliding (Rock)

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Hoek & Bray (1981)

Effective StressEffective Stress

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High pore pressures may adversely affect the stability of a slope due to a decrease in effective stresses.

σn τf

W

α

W

τFactor

of Safety

= W sinα

Total Normal Stress, σn

Pore Pressure

µ

EffectiveStress

σ’

n

This intergranular stress, or effective stress, may be viewed as the sum of the contact forces divided by the total area.

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Effective StressEffective Stress

13 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

High pore pressures may adversely affect the stability of a slope due to a decrease in effective stresses.

Total Normal Stress, σn

Pore Pressure

µ

EffectiveStress

σ’σ’ =σn -µ

[σn – µ]

The total normal stress and pore water pressure may be calculated based on the overburden weight and location of the groundwater table.

The effective stress cannot be measured; it can only be calculated.

constant =

Effective StressEffective Stress

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High pore pressures may adversely affect the stability of a slope due to a decrease in effective stresses.

[σn – µ]constant

τf

W

ασn

µ

The downslope and normal stress components remain relatively unchanged, but the increased pore pressure along any potential failure plane effectively decreases the effective normal stress component by acting against it (thereby decreasing the frictional strength component along the failure plane).

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Limit Equilibrium Limit Equilibrium –– Rotational SlidingRotational Sliding

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The fundamental concepts of the limit equilibrium method as applied to rotational/circular slip surfaces are (Morgenstern, 1995):

… slip mechanism results in slope failure;

… resisting forces required to equilibrate disturbing mechanisms are found from static solution;

… the shear resistance required for equilibrium is compared with available shear strength in terms of the Factor of Safety;

… the mechanism corresponding to the lowest FS is found by iteration;

… the Factor of Safety is assumed to be constant along the entire slip surface

shallow failure

deep-seated failure

Limit Equilibrium Limit Equilibrium –– Method of SlicesMethod of Slices

16 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

The most commonly used solutions divide the mass above an assumed slip surface into vertical slices. This is to accommodate conditions where the soil properties and pore pressures vary with location throughout the slope.

W = weight of slicec,φ = mobilized shear forces at base of sliceσ‘·l = effective normal forces on baseu·l = water pressure force on baseE = side forces exerted by neighboring slices.

The forces acting on a typical slice, i, are:

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Method of Slices Method of Slices –– Equations & UnknownsEquations & UnknownsAnalysing the summation of forces and/or moments for these slices (i.e. ΣM=0, ΣFx=0, ΣFy=0), it is soon recognized that there are more unknownsthan equations.

As such, the forces involved are statically indeterminate. Various methods have therefore been developed to make up the balance between the number of equilibrium equations and the number of unknowns in the problem.

Brom

head

(199

2)D

unca

n (1

996)

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Method of Slices Method of Slices -- AssumptionsAssumptions

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The various Method of Slices procedures either make assumptions to make the problem determinate (balancing knowns and unknowns), or they do not satisfy all the conditions of equilibrium.

Dun

can

(199

6)

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Method of Slices Method of Slices -- AssumptionsAssumptions

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The treatment of side forces, is one of the key assumptions that differentiate several of the various Method of Slices procedures.

Method of Slices Method of Slices -- AssumptionsAssumptions

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7

Because different methods use different assumptions to make up the balance between equations and unknowns (to render the problem determinate), some methods do not satisfy all conditions of equilibrium (i.e. force and/or moment).

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Ordinary Method Ordinary Method -- ComputationComputation

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The “ordinary method” only resolves the forces acting at the base of the slice. This allows for the side forces to be neglected and for the problem to be easily solved.

BishopBishop’’s Modified Method s Modified Method -- ComputationComputation

Duncan (1996)

The “Bishop’s Modified Method”includes interslice side forces, but requires an iterative procedure to determine the Factor of Safety.

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BishopBishop’’s Modified Method s Modified Method -- ComputationComputation

Duncan (1996)

1.43 1.51

1.51 1.52

1.52

1.52

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General Limit EquilibriumGeneral Limit Equilibrium

1. Different methods use different assumptions to make up the balance between equations and unknowns to render the problem determinate; or

2. Some methods, such as the ordinary and Bishop’s modified methods, do not satisfy all conditions of equilibrium (i.e. force and/or moment).

General Limit Equilibrium (GLE): Method that encompasses key elements of several Method of Slice solutions, calculating one Safety Factor based on moment equilibrium and one based on horizontal force equilibrium. The method also allows for a range of interslice shear-normal force conditions, making it the most rigorous of all the methods, satisfying both force and moment equilibrium, for circular and non-circular slip surfaces.

The degree to which the force polygon closes indicates whether force equilibrium is achieved.

Krahn (2003)24 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

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ComputerComputer--Aided Limit Equilibrium AnalysisAided Limit Equilibrium AnalysisIn cases where the shear failure surface is not known, its anticipated location can be found from analysis of the whole range of possible surfaces, and taking the actual surface to be that which gives the lowest factor of safety. This procedure can be quickly carried out using computer-based slip surface search routines.

Hand or spreadsheet calculations can take hours to solve for a single slip surface, whereas a computer requires only seconds to solve for hundreds of potential slip surfaces.

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Critical Slip Surface Search Critical Slip Surface Search

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Analysis of NonAnalysis of Non--Circular Slip SurfaceCircular Slip Surface

For a non-circular slip surface, a block search routine is used that analyzes a limited number of slip surfaces relating to the division of the slide mass into an active, central and passive slide block.

27 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

Advanced Limit Equilibrium Analysis Advanced Limit Equilibrium Analysis -- 3D3D

Most limit equilibrium formulations are two-dimensional even though actual slope failures are three-dimensional. However, there are a few 3-D limit equilibrium programs employing a “method of columns”approach.

Hungr et al. (1989)

The 3-D analysis program CLARA divides the sliding mass into columns, rather than slices as used in the 2-D analysis mode.

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Limit Equilibrium Analysis Limit Equilibrium Analysis -- LimitationsLimitations

29 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

1. The implicit assumptions of ductile stress-strain behaviour for the material (stress-strain relationships are neglected);

2. Most problems are statically indeterminate;

3. The factor of safety is assumed to be constant along the slip surface (an oversimplification, especially if the failure surface passes through different materials);

4. Computational accuracy may vary;

5. Allow only basic loading conditions (do not incorporate in situ stresses);

6. Provide little insight into slope failure mechanisms (do not consider stress state evolution or progressive failure).

Although limit equilibrium methods are very useful in slope analysis, they do have their limitations and weaknesses:

UncertaintyUncertainty

30 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

Geotechnical engineers must deal with natural conditions that are largely unknown to the designer and must be inferred from limited and costly observations. The principal uncertainties have to do with the accuracy and completeness with which subsurface conditions are known and with the resistances that the materials will be able to mobilize (e.g. strength).

The uncertainties in geotechnical engineering are largely inductive: starting from limited observations, judgment, knowledge of geology, and statistical reasoning are employed to infer the behavior of a poorly-defined universe.

In contrast, The uncertainties in structural and mechanical engineering are largely deductive: starting from reasonably well known conditions, models are employed to deduce the behavior of a reasonably well-specified universe.

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Sensitivity AnalysisSensitivity AnalysisSensitivity analyses allow for the determination of the "sensitivity" of the safety factor to variation in the input data variables. This is done by varying one variable at a time, while keeping all other variables constant, and plotting a graph of safety factor versus the variable.

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Probability AnalysisProbability Analysis

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Probabilistic analyses consider the variability of input parameters, and provide the probability of failure based on a given probability distribution function (defined through a known mean and standard deviations).

Random variables: Parameters like the angle of friction of rock joints, the uniaxial compressive strength of rock specimens, the inclination and orientation of discontinuities in a rock mass, etc. may not have a single fixed value in space but may assume any number of values. There is no way of predicting exactly what the value of one of these parameters will be at any given location. Hence these parameters are described as random variables.

Probability distribution: A probability density function (PDF) describes the relative likelihood that a random variable will assume a particular value. The area under the PDF is always unity.

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Probability AnalysisProbability Analysis

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The sample mean (or expected value) indicates the centre of gravity of a probability distribution. A typical application would be the analysis of a set of results x1, x2, …xn, from uniaxial strength tests carried out in the laboratory. Assuming that there are n individual test values xi, the mean x is given by:

The sample variance s2 is defined as the mean of the square of the difference between the value of xi and the mean value x. Hence:

The standard deviation s is the square root of the variance s2. In the case of the commonly used normal distribution, 68% of the test values will fall within an interval defined by the mean ± one standard deviation while 95% will fall within two standard deviations. A small standard deviation will indicate a tightly clustered data set while a large standard deviation will be found for a data set in which there is a large scatter about the mean.

Probability Distribution Functions Probability Distribution Functions

34 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

The normal or Gaussian distribution is the most common type of probability distribution function and the distributions of many random variables conform to this distribution. It is generally used forprobabilistic studies in geotechnical engineering unless there are good reasons for selecting a different distribution. Typically, variables which arise as a sum of a number of random effects, none of which dominate the total, are normally distributed.

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Probability Distribution Functions Probability Distribution Functions

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In addition to the commonly used normal distribution there are a number of alternative distributions which are used in probability analyses. Some of the most useful are:

Sampling Sampling –– Monte Carlo Simulation Monte Carlo Simulation

36 of 42 Dr. Erik Eberhardt EOSC 433 (Term 2, 2005/06)

The Monte Carlo method uses random or pseudo-random numbers to sample from the probability distributions and, if sufficiently large numbers of samples are generated and used in a calculation such as that for a factor of safety, a distribution of values for the end product will be generated.

… Monte Carlo sampling (relative frequency) of cohesion taken as a random variable – 1000 samples, with those producing a factor of safety <1 highlighted in red.

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Probability of Failure Probability of Failure

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The Probability of Failure is simply equal to the number of analyses with safety factor less than 1, divided by the total Number of Samples.

The Reliability Index is an indication of the number of standard deviations which separate the Mean Safety Factor from the critical safety factor ( = 1).

Remember that the PF and RI calculated for the Overall

Slope, are not associated with a specific slip surface, but

include the safety factors of all global minimum slip surfaces

from the Probabilistic Analysis.

Case History Case History –– UsoiUsoi Rockslide DamRockslide Dam

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Usoi Landslide Dam, TJ

In the winter of 1911, a massive 2.2 km3 rockslide in the Pamir Mountains of southeastern Tajikistan was triggered by a magnitude 9.0 earthquake blocking the valley and damming the river running through it.

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Case History Case History –– UsoiUsoi Rockslide DamRockslide Dam

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Usoi Damvolume = 2.2 km3

length = 5 kmaverage width = 3.2 kmheight from the lake bottom = 567 m

Lake Sarezlength - 55.8 kmmaximum width - 3.3 km maximum depth - 500 mmaximum water volume - 16,074 km3

Case History Case History –– UsoiUsoi Rockslide DamRockslide Dam

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Practically immediately after the catastrophe, the question was raised whether Lake Sarez is dangerous or not :

• will the accumulated water break through the dam, causing a catastrophic flood that would sweep 2000 km through the Amu Daryua River basin (inhabited by over 5 million people), demolishing everything on its way; or

The Usoi Dam is the highest dam, natural or engineered, on Earth.

• will the lake exist for a long time (several thousand years) in a normal regime of its evolutionary development.

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Case History Case History –– UsoiUsoi Rockslide DamRockslide Dam

Probabilistic analysis:‘Gamma’ distribution skewed towards lower values of φ, with a mean value of 40°.

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Case History Case History –– UsoiUsoi Rockslide DamRockslide Dam

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Eberhardt & Stead (2006)


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