
Congratulations to my WSP colleagues in Canada for their role in the preparation of the latest version of the Canadian Foundation Engineering Manual.…
Canadian Foundation Engineering Manual 5th Edition

Congratulations to my WSP colleagues in Canada for their role in the preparation of the latest version of the Canadian Foundation Engineering Manual.…
Canadian Foundation Engineering Manual 5th Edition
On this site we feature the U.S. Army Corps of Engineers publication Retaining and Flood Walls, which details the design of several types of retaining walls. As it was published a good while back, it details the design of these walls using hand calculations. Sometimes these can get tedious, especially when the aptly named “trial wedge” solutions are employed.

These days it’s more likely that a computer solution–be it a true finite element analysis or simply the automation of those tedious hand calculations–is used to finalise the design of a retaining wall. An example of such an analysis is shown above, and addresses in particular an issue that gets the short shrift in classical retaining wall analysis of any kind: global stability failure. An idea of a hand solution to this problem is shown at the right. Global stability failures still happen and are generally disastrous; beyond a conventional slope their analysis is fairly complex.
But in the meanwhile, what do we do to verify that we’ve got it right with a computer solution? Or what can we do to start with a reasonable design that we can refine with numerical analysis? Back in the “slide rule era” we used quick, “back of the envelope” methods to design things, and we can use them today both to get started and to gain a basic understanding of the elements of the design.
In this case we’re going to discuss the design of a cantilever retaining wall, an example of which is shown below.

The methodology is based on the aforementioned Retaining and Flood Walls and the example (which is a little clearer description of same) comes from Appendix A of Seismic Analysis of Cantilever Retaining Walls, Phase I. I’ve modified it in a couple of spots and will detail those modifications as we go.
The example we’ll look at is below. We need to design this wall to prevent failure against three events: sliding, overturning and bearing capacity failure.

Our datum/coordinate origin is at the toe, which is convenient since we assume that the overturning moment is computed around the toe. Since this is a cantilever/gravity wall, the weight of the wall is part of the resistance force and moment. Included with that is the backfill that is trapped behind the wall (shown above.)

We start by dividing up the wall into sections, each of which has a weight and a centre of gravity. The first section we take up is the backfill, which is a simple rectangle shown above.
At this point we need to make one correction to the Corps’ work: the weights and moments are in pounds per unit length of wall and ft-pounds per unit length of wall, respectively. Leaving those per unit length designations is a common shortcut among practitioners but is confusing for students, who frequently find the unit length concept difficult to grasp at first. The weight of the backfill is properly 18,000 lbs/ft of wall and the moment around the toe ((clockwise) is 162,000 ft-lbs/ft of wall.
Computing the weights and moments of the various sections of the wall itself yields the following results.

Taking all of this information and processing it yields the total weight, total moment around the toe, and moment arm around the toe:

Since most engineers have learned their statics via vectors, a review of Vector Statics and “Old Coot” Statics: An Example and What is a Resultant in Geotechnical Engineering? may be in order.
Now comes the tricky part: in retaining wall design, we traditionally define the factor of safety as
(1)
Where the “F” values can be forces or moments and FS is the factor of safety. Sometimes this is not the optimal way of applying factors to account for uncertainties, especially when we get to LRFD. Another approach is either to increase the driving force or reduce the resisting force. We do the latter with sheet piling (where there there are earth forces to resist) but here we’ll to the former. To make this happen we first define a shear mobilisation factor (SMF) thus
(2)
The value of can be computed thus:
(3)
For this problem, assuming SMF = 2/3 and φ’ = 35°, by substitution φ’mob = 25°. We will discuss the effect of cohesion later.
Now we turn to computing the force of the soil behind the wall on the wall.

We note the following:
At this point we can compute the forces on the base (both the forces T’ and N’ and the location of the resultant xN’,) which are shown below.

The calculations are shown below.



Turning to the sliding problem, the driving force is the earth pressure force and the resisting force is the maximum Coulomb friction of the base/soil interface. In this case the value of δ is equated to the unmodified value of φ’, although that isn’t always the case. (The basis for this is that there is a thin layer of backfill sand under the wall, under which is a different foundation soil.) We then apply Equation (1) and determine the factor of safety against sliding, which checks out against the Corps criteria.

Knowing the location and magnitude of the resultant, we compute the maximum and minimum pressures on the base. Since both pressures are compressive, the resultant is in the middle third, and thus we can proceed with the base design.
One thing that is missing from this analysis is a specific analysis for overturning. In this case we make a common assumption that, as long as the resultant force of the wall is within the kern and there are no negative pressures on the base, overturning will not be experienced. It is certainly possible to do an explicit overturning analysis to check this result.
With the wall’s sliding and overturning established, we turn to the bearing capacity analysis of the base. The complete bearing capacity equation, from the Soils and Foundations Reference Manual (with modification,) is
(4)
where

Load inclination is the result of two perpendicular loads acting on the base of the foundation. It is illustrated in the sketch at the left.
The load inclination factors are given as follows:
(5a)
(5b)
where the load inclination angle is given as follows
(6)
Substituting yields 𝞭’ = tan-1 (10,137.5 lbs/26,625 lbs) = 20.8°. The friction angle of the base soil proper is 𝟇 = 40°. Substituting into Equation (5b) yields l𝞬 = (1-20.8/40)2 = 0.23. We can neglect the factors for Equation (5a) as those terms do not apply to this situation, but for completeness lc = lq = (1-20.8/90)2 = 0.591.
Making all relevant substitutions:
Settlement of retaining wall is an important topic, as settlement of walls and levees has led to overtopping (as we found out the hard way during Hurricane Katrina.) Instead of picking a method and doing it “by hand,” we will use the USACOE software package CSANDSET, developed by Virginia Knowles. To accomplish this we need to do the following:
The input data is shown in the screenshot below.

The SPT and CPT are taken from “typical” values as they were not given in the problem statement. The option data is generated by the program. The horizontal (at-rest) earth pressure is Jaky’s Equation for normally consolidated soils.
The solutions the program gives are as follows:

The various methods are described in the program documentation. Schmertmann’s Method is given a full description in Foundation Design and Analysis: Shallow Foundations, Settlement. Elastic methods are treated in Soil Mechanics: Elastic Solutions to Soil Deflections and Stresses and related posts. It is interesting to note the wide variance in results; this is typical of geotechnical methods in a state of flux, and can also be applied to bearing capacity of driven piles.
The supplemental data generated by the program is at the end of the post.

The example problem above has a level backfill. Sloping backfills–usually positive (up from the wall,) occasionally negative, are common with retaining walls. The problem of the sloping backfill is illustrated at the right.
Without going into the actual solution of the problem using a sloping backfill, the following changes must be made in order to accommodate the effects of this condition:

Assuming a β = 10° and applying φ’mob = 25°, with the geometry shown we note the following:
We will leave working out the effects of this backfill slope to the reader.
If we have soils with cohesion in the backfill, the cohesion should be modified in a similar way to the friction angle thus:
(7)
A more complete treatment of the SMF is given in Retaining and Flood Walls.
I’ve dealt with the issue of consolidation extensively since my first post on the subject, From Elasticity to Consolidation Settlement: Resolving the Issue of Jean-Louis Briaud’s “Pet Peeve”. His problem was the lack of relationship between the way we handle consolidation settlement vs. elastic settlement. In this post I plan to look at a different problem, i.e. the way we express the relationship between soil pressure and consolidation settlement, or settlement by rearrangement of the particles.

Let’s start with the diagram at the right, from Broms (as will be the case with the graphics we use.) Soil is made up of a combination of soil particles and voids between them. The voids can be filled with air, water or (God forbid) something else. For saturated soils water, for practical purposes, fills all of the voids.
In any case, for illustrative purposes we can “melt” the solids into a continuous solid and leave the rest as a void. We assume that the solids do not compress during the application of pressure and thus their volume is constant. From the first state (on the left) to the second state (on the right) additional pressure is applied. All the change of the volume must take place in the void; the equation at the bottom is based purely on the geometry, where is the height of the layer being compressed,
is the initial void ratio of the soil,
is the change in void ratio during compression, and
is the primary settlement of the soil.

Unfortunately, as discussed elsewhere on this site, the relationship between the increase in pressure and the settlement/change in the volume of the voids isn’t linear but (empirically) logarithmic. That is shown in the graphic on the left; once the pressures get past the ambient effective stress, the settlement takes places according to the relationship shown at the bottom of the graphic. Here is the compression coefficient,
is the effective stress, and
is the change in pressure on the soil at a given point.
Combining the two equations in the two graphics yields the “accepted” form of the consolidation settlement equation for normally consolidated soils, thus
(1)
To this deceptively absolute state of affairs Verruijt has the following objections:
(2)
where is another form of the compression coefficient. (Well, actually, he’d prefer natural logarithms, but as I said let’s put that aside.)
Multiplying both sides of Equation (2) by gives us
(3)
The two compression coefficients are related as follows:
(4)
Actually a variant of Equation (4) finds its way into American practice in Hough’s Method for sands, which is described in the Soils and Foundations Reference Manual.
The “New” NAVFAC DM 7.1 (Soil Mechanics) is an excellent compendium of the current state of geotechnical practice relating to soil mechanics. In the process of discussing consolidation settlement, it highlights some recent changes that promise to add to the confusion described above.
For normally consolidated soils, Equations (1) and (3) are written as follows
(5)
where is the modified compression index. This means that Equation (4) can be expanded as follows:
(6)
Whether we can dispense with the initial void ratio is a separate topic. Assuming that we can, what we have is a situation with three different compression coefficients, all designated with some form of , and none of them the same. (If we threw in natural logarithms, we’d have six.) The potential for confusion is evident, no where than when two of the three coefficients end up in the same table:


Secondary compression has had the problem for much longer. If we look at Graphic 3 on the right, we see that we have a secondary compression coefficient . The presentation is a little hard to follow but the secondary compression equation is
(7)
where is the amount of secondary compression,
is the coefficient of secondary compression,
is the life of the structure and
is the time at which 100% of primary compression has taken place. (Of course that’s a source of confusion in itself because, in theory, 100% primary compression is never achieved, something that buffaloed many of my students on a test last semester.)
However, as NAVFAC DM 7.1 points out, we can also write this as
(8)
where the modified secondary compression coefficient is
(9)
My advise to students and practitioners alike is to be vigilant and careful. Make sure you understand which coefficient is being called for. For software, make sure you completely understand which coefficient is being used by the software; otherwise, you will have the classic “garbage in/garbage out” result. Verruijt hoped that we would come to uniform practice but we can’t wait for this; we have to get our work done, and we need to do it carefully.
It’s been a favourite topic of this site to consider the issue of alpha vs. beta methods for deep foundations (both driven and bored piles.) In our post Shaft Friction for Driven Piles in Clay: Alpha or Beta Methods? we show that the Kolk and van der Velde method for driven piles in clay can be converted from an alpha method to a beta one by some simple math. The key to this success is that the ratio of undrained shear strength to effective stress is at the core of the method.
If we want to simplify things further, we can consider this, from the “new” NAVFAC DM 7.1, originally from Skemption:
(1)
where

The relationship between undrained shear strength and vertical effective stress in a qualitative sense is illustrated by the diagram at the right, from Broms.
Substituting this into our derived value for in the Kolk and van der Velde method yields
(2)
where
This makes the factor simply a function of the pile geometry and the plasticity index at a depth
.
But can this be done for methods where the relationship between undrained shear strength and the effective stress? The answer is “sort of,” and this post will explore that possibility.
Let us consider an example from the Dennis and Olson method for driven piles. It is a classic “alpha-beta” type of formulation; we will only consider the alpha method portion of the method. For a beta method to be equivalent to an alpha method, the following must hold:
(3)
We should note that, for the beta side of the method,
(4)
where
We will not consider this computation further, but only assume that
(5)
For the shaft resistance in clay
(6)
The two F constants are defined in the original monograph. The relationship between and
is shown below.
This is more complicated than, say the O’Neill and Reese method for drilled shafts. But the idea is the same. Our goal is basically to convert the values of alpha (where c is an independent variable) to use as a beta method.
We start by modifying Equation (3) for the Dennis and Olson method thus:
(7)
Solving for ,
(8)
Substituting Equation (1) into Equation (8) yields
(9)
The remaining difficulty is that is a function of
. This can be dealt with by manipulating Equation (1) to read
(10)
in which case
(11)
The left hand side is the independent variable of the graph above; the right hand side can be computed to substitute for that same independent variable.
Let us consider an example, namely the one used in the Dennis and Olson example:
The problem here is that we are given an undrained shear strength value for the clay layer but not a plasticity index. We are given a unit weight for the clay layer (not automatic for problems like this.) So we can compute the ratio of the undrained shear strength to the effective stress. For the top layer, the midpoint effective stress is 900 psf, and the undrained shear strength 2000 psf. The ratio is thus 2000/900 = 2.22. From Equation (1), the plasticity index is about 571. This, of course, is highly unlikely, and illustrates an important point about academically formulated problems: they’re not always realistic in their parameters. For the effective stress levels we have, it is likely that the undrained shear strength needs to be considerably lower than is given in the problem.
In any case substituting and
from the original data and
from the current data yields
, which is the same as the original. From here we can compute
and, substituting into Equation (9), we obtain
. Multiplying this by the effective stress of 900 psi yields the same result of
.
Conclusion
In our earlier post Analytical Boussinesq Solutions for Strip, Square and Rectangular Loads we discussed the stress under and settlement of foundations (mostly flexible) on a semi-infinite half space. Usually, though, a hard/competent layer intervenes to mess things up. Some of the books offered on this site–in print and download–have solutions for this problem. Unfortunately unexpected things happen when we consider these things carefully.
To illustrate this, let’s start with the table and diagram below, from NAVFAC DM 7.01.

The settlement at the centre of the full foundation (sum of the corners of the divided foundation, see below) is given by the equation
(1)
where
Note that we’re now dealing with settlements. The soil being compressed is limited to a height H from the surface to the “rigid base.” In this diagram we do this corner by corner, as we did for the stresses in Analytical Boussinesq Solutions for Strip, Square and Rectangular Loads. In both this and Going Around in Circles for Rigid and Flexible Foundations we used another chart, which is shown below.

The two charts differ as follows:
Let us look at an example, from NAVFAC DM 7.01.

As was the case with the stresses in Analytical Boussinesq Solutions for Strip, Square and Rectangular Loads, we use the corners and divide up the entire foundation into four (4) identical foundations. The influence coefficients shown in the DM 7.01 chart above are used. The maximum deflection (at the centre) is thus four times the partial corner deflections.
Here’s where we run into the first problem: the example is wrong because it only considers the corner deflection of one partial foundation. The problem statement implies that, if we add all four partial foundations touching the corners of the partial foundations (which are all at the centre of the full one) we would get the complete settlement at the centre. Doing this yields .
If we use the Tsytovich chart we can compute the average deflection of the foundation, and we can use the entire foundation at one time. We first note that . We then note that
. From the Tsytovich chart
and the settlement as follows:
(2)
Although “average” results can be different based on the method of averaging (something students frequently overlook,) it makes sense that a average result should be somewhat below the deflection at the centre. That’s not the case here.
So let’s turn to the newer NAVFAC DM 7.1. They replaced the above chart with the following for settlements:

To start with, Figure 5-6 (and the accompanying text) really don’t say whether it’s settlement at the corners, centre or an average settlement. Giroud (1972), the source of Figure 5-6a, does say that it is a corner settlement similar in concept to the old DM 7.01, but the new document does not make this clear. From this, H/B = 10/10 = 1 and L/B = 1. Looking at the chart and summing the corner displacements of the partial foundations,
(3)
This is significantly different than the old DM 7.01. It is larger than the average settlement shown in the Tsytovich table. But can it be checked against another method?
The answer is “yes,” and to do so we turn to Das (2007). Let us begin by defining the reduced foundation dimensions as B’ and L’, which are obviously half each of B and L. The displacement at the centre of the foundation (the corners of the reduced foundations added together) is thus
(4)
In this case there are two influence factors, and they correspond with those given in NAVFAC DM 7.1 Figure 5-6: with
and
with
. We can dispense with the latter by noting that, for the case with no embedment (
in a similar way to
above. (Das gives charts, which we do not reproduce here.) Let us then define
(5)
and
(6)
Using these ratios, we can define two quantities
(7)
(8)
From these quantities,
(9)
For our example m = 10/10 = 1 and n = 10/10 = 1. For (problem statement,) substituting and solving into Equations (4-8) yields the following:
Substituting this yields 2.352′, which is reasonably close to the NAVFAC DM 7.1 solution, and still greater than the solution from Tsytovich.
References