1. Introduction
Screw (also referred to as helical) piles are a type of foundation pile, made of steel, usually comprising a hollow circular or square shaft and one or more helical elements welded, at prescribed spacing, at the shaft base. The presence of the helix (or helices) increases the pile base capacity under axial compression loads, and provides a greater pullout capacity under tension (uplift) loads, which would otherwise be resisted by shaft friction only. The helix geometry can vary between different manufacturers, but the general concepts and installation principles of screw piles remain the same.
The first documented use of screw piles dates back to the 19th century, when Alexander Mitchell designed screw piles to support a lighthouse in England [
1]. Screw piles are installed by the simultaneous application of a torque and a thrust force, using, for example, an excavator equipped with a hydraulic torque head. Torque installation depends, among other factors, on the pile configuration (helix and shaft size, the number and spacing of helices), ground conditions, the installation advancement rate and speed of rotation, and operator skill (see e.g., [
2]). Installation torque logs (i.e., torque vs depth) are used as part of the quality control and assurance process during construction monitoring. Installation torque can also be correlated to the base bearing capacity and used for pile design—refer, for example, to [
3] for further details, since capacity–torque correlations are outside the scope of the present work.
This article focuses on single-helix screw piles, installed in sands, subject to axial compression loads. The geotechnical axial compression capacity,
, of a single-helix screw pile can be conceptually broken down as the sum of the base (helix),
, and shaft,
, capacities as follows (
Figure 1):
The term
is usually the main contributor to the screw pile axial capacity. This is recognized by some geotechnical practitioners, who, during design, conservatively ignore the resistance mobilized along the shaft, at least in part (such as in proximity of the helix). Shaft friction can however provide an important contribution to the overall pile geotechnical capacity, particularly in piles with a large shaft diameter, and its estimate is required for the correct interpretation of pile load test results. For reference, ref. [
2] indicates that shaft friction is usually considered in the estimate of the capacity of piles with shaft diameters exceeding approximately 89 mm (i.e.,
inches).
It should be noted that the definition of ultimate capacity is associated with a value of limit pile displacement (settlement) corresponding to failure. Shaft friction is fully mobilized at small displacements
(e.g.,
–
% of the shaft diameter
D, [
4]), while the mobilization of the ultimate base capacity requires significantly greater displacements. Different criteria have been proposed in the literature and in design codes to define the ultimate bearing capacity from the results of a compression pile load test (see, e.g., [
5,
6,
7]). For screw piles, a conventional reference value often adopted is
(see, e.g., [
8]). For large helix diameters, this value may exceed the displacement capacity of a given structure, and a structural engineer may therefore indicate a smaller ultimate displacement value.
For the design of piles in sands, starting from an estimate of soil parameters, the term
can be obtained, as for other pile types, using the bearing capacity equation with an appropriate bearing capacity factor
(see for example [
3] or [
4]) as follows:
where
is the vertical effective stress at the helix depth and
is the area of the helix (plus shaft), with radius
R. The term
represents the average ultimate bearing pressure under the helix,
.
The shaft friction can be obtained as
where
s is the pile shaft radius, subscript
i refers to the
i-th soil layer,
is the shaft friction estimated in a given layer, and
is the layer thickness. Shaft friction can be computed from estimated values of horizontal effective stress and soil internal friction angle at a given depth.
Instead of performing an indirect estimate of the shaft friction and bearing pressure, different authors have proposed direct correlations between these parameters and the results of in situ tests. Such correlations have been proposed for other pile types (see, e.g., [
9,
10,
11,
12]). Given its relevance for the present work, reference will be limited to correlations based on the cone penetration test (CPT). The correlation between CPT tip resistance,
, and ultimate (average) base resistance,
, can be written in the following form:
while the correlation with the shaft resistance can be expressed in the following form:
where
and
are empirical correlation factors. Bustamante and Gianeselli [
9], following a review of field test data, suggested for piles in sand
= 0.30–0.40 for bored piles, and 0.40–0.50 for driven piles, with the lower values corresponding to denser soil conditions. The authors also estimated
values ranging from 30 to 300 for piles in sand, depending on pile type and soil density. In a recent study focused solely on screw piles, Bittar et al. [
8], based on the analysis of a large number of pile load tests, proposed
at
, and
. In their derivation of the model subject of the present paper, Yttrup and Abramsson (2003) [
13] assumed
, albeit with a non-uniform pressure distribution, as it will be discussed in the next sections.
Figure 1.
Illustration of Yttrup and Abramsson’s model: (
a) pile geometry showing rotation of helix around plastic hinge location relative to the pile shaft; (
b) bearing pressure distribution for “strong” and “weak” helix mechanisms in the original model [
13]; (
c) bearing pressure distribution for “strong” helix mechanism for the proposed model; (
d) displacement field (both original and proposed model).
Figure 1.
Illustration of Yttrup and Abramsson’s model: (
a) pile geometry showing rotation of helix around plastic hinge location relative to the pile shaft; (
b) bearing pressure distribution for “strong” and “weak” helix mechanisms in the original model [
13]; (
c) bearing pressure distribution for “strong” helix mechanism for the proposed model; (
d) displacement field (both original and proposed model).
The present work considers the analytical model proposed by Yttrup and Abramsson [
13], which estimates the geotechnical compression capacity of a single-helix pile installed in sand when failure occurs due to a plastic collapse mechanism in the helix. In their work, Yttrup and Abramsson considered the influence of the deformation and yielding of the pile helix on the pressure distribution under the helix and the resulting bearing capacity.
Other design approaches, whether based on the bearing capacity Equation (
2) or on correlations from in situ testing, assume a uniform bearing pressure under the helix. If not suitably tuned, the use of a uniform pressure distribution to design the helix as a cantilever against yielding can result in a very large helix thickness, inconsistent with helix thicknesses effectively and successfully employed in practice.
Assuming a trapezoidal soil pressure distribution under the helix and using a kinematic limit analysis approach, Yttrup and Abramsson [
13] are able to estimate the pile base bearing capacity. The main merit of this model is that it offers a rational approach for the structural design of the pile helix and specifically, for the determination of the helix thickness. This in turn allows to avoid the instance of a “weak helix” mechanism, when the premature development of the plastic hinge in the helix prevents the full mobilization of the geotechnical base capacity of the pile.
This work began with a review of Ytrrup and Abramsson’s original study, which appeared to contain some inconsistencies in its editorial and graphical presentation, together with parts of the model derivation and its application left to the readers. This prompted a critical analysis which consisted of re-deriving the equations of the model, reconstructing aspects not explicitly mentioned, and eventually proposing an alternative, extended version of the model. Finally, the calculated axial capacities were compared with experimental results, providing the basis to discuss and assess the model’s capabilities and limitations.
4. Discussion
The results of Yttrup and Abramsson’s experiments [
13] are analyzed first. It is first noted that the models based on Yttrup and Abramsson’s approach (original prediction, reconstructed, and proposed models) predict that, for piles installed in similar ground conditions and with the same shaft and helix radii, the axial pile capacity depends on helix thickness. For this reason, the measured pile capacity increases from pile 1 to pile 4, and from pile 5 to pile 8. One can also note that, for the cases of piles exhibiting a “weak” helix response (1–3 and 5–8), the original prediction by Yttrup and Abramsson and the predictions by both the reconstructed and proposed models are all relatively close to the value measured in the pile load tests, with the exception of the Orig. estimate for pile 2, which exceeds the measured pile capacity by
%.
To evaluate the prediction accuracy of a specific model across multiple tests, the mean absolute percentage error (MAPE), i.e., the mean of the absolute values of the percentage errors, is used. The MAPE of the Orig. model for the first eight rows in
Table 2 is
% and for Prop. is
%.
To compare the Prop. and Orig. models with the Rec. model (not applicable to the case of pile 4), the MAPEs are recomputed for all three models excluding pile 4. In this case the MAPE for Orig. is %, % for Rec., and % for Prop.
These results primarily confirm the conceptual basis of the Orig. model, with any potentially misleading points or omissions in [
13] confined to editorial matters and not affecting the underlying idea. At the same time, the reconstructed model is also validated and it is now possible to apply Yttrup and Abramsson’s model following the reconstruction provided here. The fact that the Prop. model has results relatively close to the Rec. model suggests that the correction factors
(for the helix geometry) and
(for the hardening observed in the bending test) proposed in [
13] may be omitted. These factors, unless calibrated on a large and diverse test sample, may effectively restrict the range of application of the model. The effective influence of the empirical correction factors needs to be further scrutinized against a larger, more diverse experimental data set. In addition, the Prop. model extends the Rec. model to cases with
. Pile 4 (with
) has a greater axial capacity than piles 1, 2, and 3 because of its greater helix thickness (20 mm). Both the original model by Yttrup and Abramsson and the proposed model result in an over-prediction of the capacity
of pile 4 by, respectively, 12% and 23%. The information available in Yttrup and Abramsson on the pile load test setup does not allow us to identify specific details which could explain this over-prediction.
It can be noted that the MAPE values of the Rec. and Prop. models are slightly smaller than those of the Orig. model. This presumably depends on the choices made in the derivation and reconstruction phases such as the expression (
19) for the position
r of the plastic hinge or the expression (
22) for the shaft friction. The sensitivity of the results with respect to these two parameters is presented in
Appendix C and summarized here.
For all piles, varying the coefficient
for shaft friction (Equations (
5) and (
22)) over the range 185–300, corresponding to a change in shaft capacity
of about
% compared with that of the adopted value of 230, and exploring a range consistent with values given in Doan and Lehane [
12] and Bustamante and Gianeselli [
9], resulted in variations of approximately
% or less in predicted capacities.
Sensitivity analyses on the location of the plastic hinge covered the range
–30 mm (
% over the reference value of 20 mm). This corresponds to a range between one and two helix thicknesses for the piles in
Table 1. A smaller value of
results in a smaller plastic hinge radius
r (refer to Equation (
19)) and a greater cantilevering length of the helix. In turn, this leads to a larger moment of the bearing stress and to a more conservative estimate of the unknown
a and of the base capacity. The results, provided in detail in
Appendix C.1, show that the sensitivity can be significant. A change in position of just 10 mm of the plastic hinge amounts to about a 16% change in axial compression capacity
for a helix of radius
mm (tests 10–11 in
Table A3). The effect is halved for
mm (tests 5–8). In general, it appears that the sensitivity is inversely proportional to the helix radius
R.
With respect to the remaining tests, the Rec. model is applicable only to tests 9 and 13. For these tests, the small difference between the Rec. and Prop. models is confirmed. For pile 9, the agreement of the predictions of both models with the experimental results is excellent. However, for both models for pile 13, and for the Prop. model only for piles 10–12, the predictions overestimate measured capacities by values between 20% and 60%.
For these same piles, Li and Deng in [
16] reported slight overestimates, between 5 and 13% of the observed pile capacities, when applying Chin’s hyperbolic method [
6] to estimate
at 10%
. Also, preliminary estimates (not reported here) of the ultimate capacity of piles 10–13 using the UWASP-22 model developed by Bittar et al. [
8] turn out to be significantly larger than the experimental values.
It appears therefore that substantially different methods (Chin’s method based on curve-fitting of the pile load test curve, the proposed model based on limit analysis, and Bittar et al.’s empirical equation) all overestimate the capacity of piles 10–13, albeit with different accuracy: Chin’s method (applied by Li and Deng [
16]) returns significantly better results than the Prop. model and Bittar et al.’s model [
8].
There are chiefly two main reasons for the over-prediction of Li and Deng’s [
16] test results. The first is the uncertainty and the variability of the specific ground conditions at the site where piles 10–13 were installed. An inspection of the CPT data presented by Li and Deng [
16] indicates relatively large variations (
%) in measured cone tip resistance values around the depth of embedment of the helix of these piles, with large variations also between contiguous CPT profiles at a given depth. This indicates the presence of alternating dense and loose layers and lenses, laterally discontinuous, which makes it difficult to associate a representative value of cone tip resistance
necessary both for the proposed model and for Bittar et al. ([
8], Equation (
6)). Chin’s method parameters, instead, are based on the effective load–displacement response observed in situ, thus introducing a constraint which, at least in this case, results in a better fit of the ultimate pile capacity. In an extreme case, the presence of a loose layer underlying a denser layer could lead to punching failure through the looser layer. The mobilized bearing pressure magnitude and distribution could then depart significantly from that of the reconstructed and proposed models, estimated from a cone tip resistance value averaged over a depth range.
The second reason for the over-prediction of Li and Deng’s [
16] test results, which also serves as an essential reminder, is inherent in the nature of the reconstructed and proposed models, based on the kinematic limit analysis approach that determines an upper bound of the collapse load (see e.g., [
18,
19]) whenever the considered mechanism does not coincide with the actual failure mechanism. In such cases, e.g., weak soil and/or over-designed piles, the predicted pile capacities are bound to be higher than the actual axial capacities. This may also be part of the reason why the largest percentage errors are observed for strong helices (
) in the proposed model.
Finally, it is necessary to point out that the overall good performance of the reconstructed and proposed models observed herein for cases identified as a “weak” helix response should not be unduly generalized. Given the relatively small data set employed for validation, the future validation of these models against a broader data set covering a wider range of pile geometries and ground conditions is necessary for both “weak” and “strong” helix conditions.
5. Conclusions
The present work reviewed a model presented by Yttrup and Abramsson [
13] to estimate the ultimate base capacities of screw piles in sand that fail due to a plastic mechanism at the helix. Instances of errors and inconsistencies in the notation of the original publication, likely due to mere typos, were identified and addressed following the re-derivation of the model equations. Several aspects not explicitly addressed in [
13] were discussed and incorporated in the formulation of the reconstructed model and of an alternative, proposed model. The original experimental data, together with additional pile load test data available in the literature, were employed to assess the performance of the models.
The reconstructed model resolves the inconsistencies in the original publication, demonstrating that these inconsistencies do not invalidate Yttrup and Abramsson’s original conceptual framework [
13].
Comparison with experimental data shows that the proposed variation offers an accuracy comparable to that of the reconstructed model, with the additional benefit of requiring fewer empirical factors. In any case, the support of further comparisons with pile load test data is required to establish practical recommendations in favor of either the proposed or the reconstructed model.
For the proposed model, the agreement with pile load test data was found to be good for piles identified as undergoing a “weak” helix failure mechanism, while it tended to over-predict the capacity of piles such as those tested in the work of Li and Deng [
16], which were interpreted to undergo a “strong” helix failure mechanism.
There are two possible reasons for this over-prediction. First, it could be due to the specific ground conditions at the test site, with the presence of alternating loose and dense layers at the depth of the embedment of the pile helices. This would cause a departure from the assumed pressure distribution under the pile helix, prompting caution when applying these methods in the presence of interbedded soil profiles.
The second reason, which is important to emphasize, is that the models in the present work are based on a kinematic limit analysis approach that provides an upper bound of the collapse load whenever the considered mechanism does not coincide with the actual one. These models are therefore best complemented with failure estimates for other mechanisms. It is also important to note though, that even without being complemented, these models are useful for the preliminary sizing of features such as the thickness of a pile.
Finally, even if the comparisons between the models and most experimental results presented in this paper appear encouraging, the performance of the models needs to be further validated against a larger experimental data set. To this end, the clarifications contained in the present work should assist future users in the application and extension of the methodology originally envisaged by Yttrup and Abramsson [
13].