3.0 literature review on different design methodologies
TRANSCRIPT
3.0 Literature Review on Different Design Methodologies
3.1. Introduction
In the first part of this chapter, the main focus is to give the reader a brief idea on skin
friction, PDA® testing, reliability of PDA® based on globally accepted researchers and
finally, the reliability of PDA® results obtained from Ceylinco Celestial Project for the
purpose of this case study. The second part of the chapter will be to introduce the design
methods used to evaluate pile capacities in Chapter 4.
3.2 Skin Friction
As the pile is loaded axially and forced to move downwards, the first type of
resistance it has to undergo is the skin friction (Bowles, 1996 and Tomlinson, 1994). The
skin friction is activated under very small displacement (Tomlinson, 1994) and its magnitude
depends on the strength properties of the surrounding soil, method of the installation of the
pile. and the properties of the pile surface etc. (Poulos and Davis, 1986).
Skin friction is mobilized in both cohesive and cohesionless soils and can be
calculated by various methods (Bowle, 1996; Tomlinson, 1994 and Poulos and Davis, 1986).
Skin friction in cohesive soil is not discussed in this dissertation as the site of the case study
considered does not contain clayey soil in the subsurface. This research is mainly focused on
estimation of the ultimate skin friction resistance developed in cohesionless soil layers on
bored and cast in-situ concrete piles in Sri Lanka.
In order to estimate the skin friction of bored and cast in-situ concrete piles, certain
data must be obtained, such as unit weights, soil strength properties and the lateral soil
pressure applied on the pile by the soil along the pile shaft. As mentioned before, the method
of the installation of the pile has a major impact on the skin friction developed on piles as the
strength properties of the soil surrounding the pile and the lateral pressure on the pile shaft
from the surrounding soil depend on the method of the pile installation (Poulos and Davis,
1986).
Due to the importance of the contribution of the skin friction on the total capacity of
piles, many research studies have been conducted throughout the world and research articles
and books are published on the estimation of skin friction on piles. Based on these research
studies, there are large number of empirical equations and design criteria published by many
professionals on this subject. When compared with other countries very few research studies
have been carried out in Sri Lanka related to estimation of carrying capacity of bored and
cast in-situ concrete piles. In most cases design methodologies and the parameters are
directly obtained from foreign literature to be used for design of piles in Sri Lanka. As
previously mentioned, the pile installation methodology plays a vital role in the development
of the skin friction. Therefore, in this research, it is aimed at studying the development of
skin friction on bored and cast in-situ concrete piles in sandy soil and identifying the best
possible way to predict skin friction to the acceptable accuracy.
In this endeavor of establishing the possible method of estimation of the skin friction
developed on bored and cast in-situ piles in Sri Lanka, it is essential to compare estimated
skin friction resistance from different methods with the measured skin friction resistance
actually mobilized on piles. There are various methods adopted by researches in the other
countries to measure the mobilized skin friction on piles during pile load tests. Among them,
instrumented pile load testing is very common. Furthermore, advanced pile load tests such as
Osterburg cell load testing gives high accurate estimating of the mobilized skin friction on
piles. In these methods, the skin friction mobilized on the pile is directly measured during
loading of the pile and the measured skin friction is highly accurate. In spite of the high
accuracy levels obtained from such testing methods, these methods are still not in used in Sri
Lanka. Because of that, comparatively less accurate high strain dynamic load testing of piles
using the Pile Driving Analyzer (PDA®) used in this research study. The accuracy ofthe skin
friction determined from the P D A® testing is described in subsequent sections of this thesis
together with the method utilized to check the accuracy level of the determined skin friction
resistance from the PDA®testing.
3.3 High Strain Dynamic Testing of Bored Piles
High strain dynamic testing of bored piles was introduced to Sri Lanka in late 1990's
and dynamic load testing of piles using Pile Driving Analyzer (PDA®) is now very widely
used in Sri Lanka. The skin frictional and end bearing components of the developed
resistance could be determined by the dynamic testing of piles using P DA®.
In the high strain dynamic pile load testing using a Pile Driving Analyzer (PDA®), a
pile instrumented at the top with two accelerometers and strain gauges, is impacted with a
heavy hammer so that a high strain stress wave propagates along the pile shaft. During the
blow, the acceleration and the strain in the pile at about 1.5 x pile diameter are recorded
using the accelerometer and the strain gauges, attached directly on to the diametrically
opposite sides of the pile as shown in Figure 3.1.
(a) (b)
Figure 3.1 (a) Strain gauges fixed to sides of a pile and (b) close up view oft he strain gauges
The measured strain is converted to force using cross sectional area and elastic
modulus of the pile and acceleration is integrated to obtain the velocity of the pile top.
Therefore, the velocity and the force developed at the pile top during the hammer blow can
be obtained. These measured velocity and force history at the pile top during a hammer blow
are used to simulate the behavior of the pile during static loading. It should be noted here that
the pile is dynamically loaded during the dynamic load testing to obtain the response of the
pile under static loading. For detailed description regarding the dynamic load testing of piles,
the reader is referred to Thilakasiri et. al. (2006)
Mainly two methods are used in the analysis of the velocity and the force
measurements at the pile top during a hammer blow to predict the static capacity of the pile:
(i) using the wave propagation theory and assuming a uniform elastic pile and ideal elastic
plastic soil behavior and; (ii) using combined wave equation soil model and a continues pile
model to iteratively determine the unknown soil parameters by matching the field recorded
velocity and force measurements at the pile top. The analysis mentioned in the first method
could be done easily in the field and an approximate static carrying capacity of the pile and
any defect in the pile shaft could be obtained for assumed soil parameters. The measured
pile top velocity and force records can be downloaded to a computer and a more rigorous
matching process could be used to obtain skin friction distribution along the pile shaft,
mobilized capacity at the pile toe, simulated pile static lead settlement curve, cross sectional
variations along the pile shaft and, soil damping and stiffness parameters.
Variations of the acceleration and strain, during the application of the hammer blow,
are obtained in the field using the PDA and the acquired data is processed to produce velocity
vs. time and force vs. time records at the pile top during hammer blow. Subsequently, the
data is transferred to a personal computer and a rigorous numerical analysis (modeling)
procedure called the Case Pile Wave Analysis Program (CAPWAP), which is formulated
based on the wave equation method, is used to analyze date to obtain the static Load vs.
Settlement curve and other information related to the pile.
In the CAPW AP analysis. the pile is first divided into number of elements
considering the wave speed in the pile. The simulation technique, used in the CAPW AP
method, is referred to as the wave equation method first introduced by Smith (1961). The
detailed discussion on the wave equation method is beyond the scope of this study and the
readers are referred to Thilakasiri et al.(2003) for more details of this numerical procedure.
At the beginning of the analysis. a complete set of wave equation and type soil parameters,
such as damping coefficient of the skin CJsk 111 ), damping coefTicient at the pile end CJend), skin
quake and end quake, are assumed and entered into the computer program. Then, in the
dynamic analysis, the measured velocity is imposed on the top pile element and CAPW AP
calculates the force necessary to induce the imposed velocity using the wave equation
method. Typical measured and estimated force at the top of the pile during a hammer blow is
shown in Figure 3.2.
80 to -- Force measured --- Force computed
40 1
0 --..;.__-- 1 L
Figure 3.2 Measured and computed pile top .force variations obtainedfrom a PDA® test
Cl'SION IIIIi ''''''''1 BLOCK
(!) u c Zl U1
Vl (!)
c::: c .s u ·.: u...
0 [/)
..'!::! 0::
Actual Pile
CAP BLOCK
Soil Dashpots , •I
W(IO)
Smith Pile Model
Figure 3.3 Smith Idealization o.f Pile Soil System
Pile springs
Springs
A parameter called "Match Quality" is used to indicate the closeness of the match
between the measured and the estimated force at the top of the pile. If the two curves are
identical the match quality is zero and will increase with the difference between the measured
and the predicted curves. It is generally found that if the match quality is less than 5, it can
be considered as an acceptable match (PDA® Manual). As long as the match between these
two quantities is unsatisfactory, the process of iteratively changing the parameters of the soil
model will continue.
The CAPW AP simulation is an iterative procedure to match the measured force or
velocity with the same from the predictions from the wave equation method.
Thilakasiri et. al. (2006) investigates the accuracy of the load-settlement behavior
from the CAPW AP simulation and showed that the predictions can be improved by
considering,
1. The applicability of the skin friction from the CAPW AP simulation to the soil
profile at the tip.
2. Measure blow count and the estimated blow count from the CAPW AP simulation.
3. The dynamic soil parameters used in the simulation process.
It has been shown by various researches by comparing the results of static load test
and the dynamic load test done on the same pile, the load settlement behavior predicted by
the dynamic testing method is accurate (Globe et aL 1980, Links et al. and Rausche, 1980)
Few case studies are discussed below in order to show that the results predicted by
PDA® (CAPWAP analysis) are comparable with static load test results, and thus it would be
reasonable to assume that the static friction capacity predicted by the dynamic load testing of
piles is also reasonably accurate.
It has shown by various researchers that the results of dynamic load test do match
with the results obtained from static load test to the acceptable levels. But to achieve this
match there are certain criteria to be followed during testing which are discussed below. So,
it is worth to look at the correlation of CAPW AP analysis results with static load test results.
Although there are many applications for dynamic pile testing, bearing capacity is
being the main one. The ability to predict the static capacity from dynamic pile testing has
resulted in many studies and has been the focus of dynamic pile test on many project sites.
Standard practice requires performing single matching on the data to more accurately
determine capacity from the dynamic tests. (Links et. al. and Rausche, 1980)
Reliable correlations for long term capacity from dynamic tests with static load tests
require simple guidelines. For driven piles, dynamic tests should be performed during a re
strike after a sufficient wait period to allow soil strength changes to stabilize. Testing of
drilled shafts or cast in-situ piles requires the concrete or grout to achieve a sufficient
strength, which indirectly allows the soil to recover from the drilling process. The driven or
drilled piles must also experience a reasonably net set per blow to mobilize the full capacity.
Since dynamic testing of drilled shafts offers results in a small set per blow, the capacity
mobilized would be less than the respective ultimate capacities.
Based on the original research work at case Western Reserve University under the
direction of Dr. G.G.Globe, the CAPW AP analysis procedure was both developed and
reported (Globe, 1980).
Correlation of Globe 1980 study resists of H piles, timber piles and concrete piles are
given under Figure 3. 4 ( Links et. al. and Rausche, 1980).
I !
usru\.; ' ,,;J~'~·;~ · :~·~ ~w'i[!~!·' ; 1~·-
'\.~(}~-~·~-·- (t 0
............................ l ........................... l'''''"'"'':·············
' It t •
3000
2000 '· I • ~' • .......... . ' . .. ·'. •
1000 ~ ¥¥1' I
o~----~-----4~--~
0 1000 2000 300(
ILT [\Nl
Figure 3.4 CAPWAP (CW) vs. Static Load Test (SLT). Correlation of Goble's 1980 Study.
This was one of the earliest studies done to find out the correlation of the capacities
predicted by CAPW AP with static load test results. Though the data consists of different
types of piles it confirms the idea that the CAPW AP results closely match with the static load
test results. An accurate comparison should be carried out by performing static and dynamic tests
with a smaller time gap between them, as the pile capacity changes with time. Thilakasiri et
al. (2003) carried out a study on the strength of driven piles and showed that a considerable
gain of capacity with the time. But due to the lack of information about the date of
installation or cast. the research results will not show the true representation of the actual
scenario, since the pile capacity generally changes with time. Proper evaluation of capacity is
a time dependent effect. Unfortunately only slightly less than half of the cases contained
information on date of dynamic tests and static testing relative to the installation date.
Inclusion of dates allows computation of the "Time Ratio", defined as the time of the
dynamic test divided by the time of the static test, both relative to the casting date. So, that
time dependant soil strength changes after installations are minimized, a Time ratio of 1.0 is
usually ideal. (Likins et. al. and Rausche , 1980).
So the "Time ratio" is very crucial in the comparison of CAPW AP results with SLT.
Thus date of tests, relative to the date of pile cast, should be included in future reporting of
results.
q ? (' 0 '" .., ...JJ 'v
The following examples of time ratio> 0.25 give a good correlation. A comparison of
the CAPW AP results with SL T load shown in Figure 3. 5 below. Correlation of results is
excellent and rejects the doubts on the precision ofthe CAPWAP calculation, stiffness ofthe
pile, soil system and soil resistance distribution. (Likins et. a!. and Rausche, 1980)
20.000 -··--·-····-··--·"·-··· ·----·--~--.-··
16.000 -+-----1---t--+---
~o.ooo 1 1 .1 f •
!5,000 I "t. I I
0 5.000 10.000 15.000 20.00C
SLT l'kH1
Figure 3.5 CAPWAP vs. SLT time ratio [CWISLT > 0.25]
This shows that to have good correlation between two results, it should have
considerable set in dynamic testing and relatively higher settlement in static testing .
..0.000
30,000
[ 20,tm
~ 10,000
0
---.....-.-i
! ·• i --1
i i j
• I !
• l • • I i __.
•• I .;
• i
,~ • ! ;
0 10.000 20.000 30.000 .co.ooc SLTikHJ
Figure 3. 6 CAPWAP vs. SLT drilled and auger cast piles
Figure 3. 6 presents the result for cast in situ drilled and augured piles. Drilled cast in
situ piles show less correlation compared it with the driven piles. This is due to the fact that
driven pile has more reliable information of both the shape (e.g. Cross sectional area vs. pile
length) and modulus of elasticity. For drilled shafts this forms may vary with the lengths.
hen though the drilled shaft has these disadvantages the results show that CAPW AP and
SLT results are quite closer to each other.
By looking at above results shown from the researches conducted by Garland Links
and Frank Rausche (1980) on correlation of CAPW AP with SLT results following
conclusion can be derived.
To have a good pre calculation of capacity from CAPW AP to match with SL T proper
guidelines on time and net settlement of pile testing has to be followed. But by all the test
results it clearly shows that if the above criterion is satisfied then the values predicted by
CAPW AP shall be accepted inline with SL T results.
Before the use of PDA® results to estimate the skin friction component developed in
bored cast in-situ piles, it is advisable to prove the applicability of PDA® method to estimate
the mobilized skin friction. For this purpose, the methods proposed by Van Weele (1957) and
Chin (1979) are used. Applicability of the method proposed by Van Weele to estimate the
skin frictional capacity from static pile load test results was researched by Thilakasiri (2006).
So it is beyond the scope of this research and here it is assumed that Van Weele (1957)
method estimates the skin friction component to the accuracy required for the purpose of this
research. But a comparison between skin friction calculated from SL T using Van Weele
method and skin friction values obtained from PDA® testing are discussed under following
paragraphs. In addition to those two methods results obtained from defective piles of
Ceylinco Celestial Residencies Project (2003-2009) has been used to build an argument on
the reliability of PDA® results.
3.4 Investigation of the reliability of the P DA® results
3.4.1 Results from defective piles
Tahle 3.1 PDA® resultsfor defective piles. CCRP (2003-2009)
,--~ --
I P D A® before rectification l P D A® after rectification
f--- -Skin Friction ! End Skin End
(MT) Bearing(MT) Friction(MT) Bearing(MT)
1--- -
P049 (1800mm) 611 700 1875 . 715
P114(1800mm) 854 683 1811 842
f----
P123( 1800mm) 548 576 1686 1373
P072( 1800mm) 775 411 1782 1173
P142(1800mm) 548 589 2125 451
f------P149( 1500mm) 597 420 1570 394
f------P074(1800mm) 685 278 1525 375
P087(1800mm) 1185 693 1686 1292
'------
Above table gives the results of skin friction and end bearing obtained for "Defective Piles",
before and after the rectification. The term "Defective Piles" describes the piles of which the
capacities are not mobilized to the tested values.
The defects which were identified by the experts was "soft toe" due to sedimentation of sand
or other loose materials at socketed portion and toe area of the pile. The method used to
identify the suspected piles was a simple technique.
All the piles in above project were tested for PIT®. The Low Strain Pulse Echo method of
testing the integrity of the piles is accepted world wide. The test method has been codified by
professional institutions in many countries and testing standards and codes have been
developed for its proper specification and use. When a cast in-situ pile is struck with a small
hammer, a stress wave is generated that travels down the shaft to the bottom where it is
reflected. When the reflected stress wave returns to the top, a measurable pile top motion
occurs. If the reflected wave occurs at the correct time, and if no other earlier reflection is
observed at pile top, then pile shaft is likely to free from any major defects. Then series of
analysis done with plotted curves, it can be concluded whether a pile is a defective one or
not. Sine the decisions are heavily depend on the interpretation of individuals it requires
some experienced personal in the piling industry to take decisions. Identification of defects
~
was mainly done using the pile integrity testing method briefly described above and using a
point scheme to decide the defectiveness of piles which is described below.
Time taken for boring of a particular pile, difference between actual and theoretical concrete
volumes. time gap between the completion of boring and start of concreting and PIT® test
results are the considerable factors for quality of piles. They were given marks by
considering the importance of them to the quality of piles. For an example PIT® results
giYes the priority and if a pile suspect as a defective one by PIT®, then it is assigned full 10
marks. Similarly other factors also give marks and obtained total marks for individual piles.
A pile with higher marks means the higher probability to becoming a defective pile. Then
those selected piles are tested for P D A®.
If the mobilized capacity of piles is less than the expected value then the pile is suspected as
a defective pile. Post grouting technique using "U" tube method was used to rectify those
piles and piles were re-tested using PDA®. In the above method two cylindrical vertical holes
were bored in the defective piles at predefined spacing as indicated in the Figure 3.8. Core
recovery is closely examined by an expert during the process. When it reaches to the weaker
area of the pile. in this case to the toe, other borehole drilling can be started. When the expert
confirm that both are at same weaker are of pile then high pressure water jet of about 20 bar
applied to one end while tightly closing the other end. After pressure reach it predefined peak
value then close cap of the second end release. Water jet with impurities comes out at a
greater pressure and process continues until water comes out from the pile is becoming clear.
After removing all loose materials, dry air jet of high pressure applies in to the drilled hole to
make it dry. Then grout prepare with ordinary cement is applied in to the drilled hole until it
is completely filled under pressure. Allow 14 days for curing and then that pile can be tested
using P D A® again.
l • l ,.
: ~ t j
l
:II
li
Drilled hole Nol
75mm Diameter
High pressure water in
Concrete pile
Drilled hole No2
u u
Figure 3. 7 Rect(llcation ofpile using "U" tube method
High pressure water out
GL
Concrete pile
Contaminated area
Loose area Filled with Grout
Contaminated area
First column of the above table 3.1 gives the SF before rectification for each pile and the
average is around and this may be the "Ultimate skin friction" generated by the top
soil layers up to rock strata. This considered as the "Ultimate skin friction in sandy soil
region", because the piles have moved down excessively due to the defects in the toe and
socketed region. Reports suggested that generation of SF in this weaker socketed area is very
low and can be considered as zero. Thus the excessive movement should mobilize the
ultimate skin friction in sandy soil region. After grouting this figure has increased by an
average of 1 but there are only three cases out of eight the end bearing figure increased
in large percentage. It suggests that grouting of toe really effected on the SF of the piles
rather than EB. Since it has done only the toe rectification, it is very clear that the increment
of SF is produced by the socketed portion of the piles.
To ensure the above argument, the average values of skin friction up to the rock strata given
by the five design methods discussed in Chapter 4 are considered. Value given by them is
900MT and values produce in the actual case is reasonably close to the predicted values by
the PDA
As the fl.rst conclusion of the argument given above, the "Ultimate skin friction up to rock"
in this particular case excluding the socketed area for 1800mm diameter piles can be taken as
approximately 600 MT.
The average value SF after the rectification is 1600 MT. The individual values are very
similar and close to each other. That means after proper grouting it can assume
comparatively proper pile geometry inside the socketed area. This increases the probability
of producing similar results by same diameter piles. So that the average of this results may
represents the true skin friction capacity of 1800mm diameter piles of this particular site.
As the second conclusion of the argument given above for this case study, the "Ultimate skin
friction of the pile'' including the socketed portion for 1800mm diameter piles can be taken
as approximately 1600 MT.
These two conclusions will be used in following discussions on Van Weele method ( 1959)
and Chin Method ( 1979) in following chapters.
3.4.2 Discussion on the application of Van Weele (1957) method
In this section Van Weele (1957) method and its application to this case study would
discuss to verify the results obtained from PDA tests are relial:5le. The values obtained from
the PDA tests are compared with the results of Van Weele (1957) method.
By traditional load~settlement curve obtained from a static load test, the load
settlement behavior at top of the pile could be obtained. Even though a normal load
settlement curve doesn't directly give the skin friction and end bearing separately, the shape
of the load settlement curve depends on the relative magnitude of the skin friction and end
bearing and the distribution of the skin friction along the pile shaft. According to the Van
Weele (1957) and Bowles (1986), when pile is loaded initially the load is carried mostly by
skin friction until the shaft slip is sufficient to mobilize the limiting value. When the limiting
skin friction is mobilized, the point load increases nearly linearly until the ultimate end
bearing capacity reached. At the point of the ultimate end bearing, the load settlement curve
becomes vertical indicative of no additional load carried due to further increase in settlement.
Based on the above argument, a typical load-settlement curve, shown in Figure 3. 8 has three
distinct regions as below:
1. Region from point 0 to A - Within which the capacity is mainly from the skin friction plus
small contribution from end bearing.
2. Region from point A to B - Within which the load capacity is the sum of the limiting skin
friction plus the approximately linearly increasing point bearing capacity.
3. Region from B to point where curve become vertical. Often the vertical asymptote is
anticipated and often the test is terminated before a "vertical" branch is established."
(Thilakasiri, 2006).
By using a tangent in the region AB, where the curve becomes approximately straight
and by drawing a line parallel to that through (0, 0) the ultimate skin friction capacities could
be determined as in Figure 3.8.
0
' '
' '
Settlement (mm)
' '
----------1 4----1------_.j! Tangent drawn through
1
' '
I, the selected posit1on 1
L----------~
L,lad (Tons) ' ' ' '
' ' ·' ·'
J'' ~- B I. J~ ---.....,....,,
--------~
i End Bearing 1
L ______ ,
~ - ------ -·l I Skin jj-ictJOil_ J
Figure 3.8 Load vs. Settlement behavior proposed by Van Weele (1957)
Sample piles were selected from the Ceylinco Celestial Residencies (CCR) Project.
So, it should be checked whether the same criteria proposed by Van Weele (195 7) and
Bowles (1996) could be applied to pile tested in Ceylinco Celestial Residencies Project (CCR
project). There are four piles tested under static loading. Only three out of four have passed
the test and those piles were subsequently tested under dynamic loading. For this comparison
those four piles PO 14, P042, P 050 & P078 were used.
P014 is 1200mm diameter pile with a test load of 1260kN, P042 is a 1500mm
diameter pile with a test load of 1875kN and P050 & P078 are 1800mm diameter pile each
vvith test load of 2569.5kN. Figures 3.9, 3.10, 3.11 and 3.12 give the load-settlement
behavior of above mentioned piles under both static loading and dynamic loading. The load
settlement curves obtained from both SL T and PDA test have included in the same graphs for
the easy reference on behavior of those two curves.
Most of the piles tested in Sri Lanka are tested up to 1.5 - 2.0 times working load
rather than going for ultimate loads. In CCR project pile has loaded to 2.5 times working
load.
DESIGN OF CIB PILES
P050 Loads (Tons)
0 250 500 750 1000 1250 1500 1750 2000 2250 2500 2750 3000
2
3
4
5
E 6 E .. 7 r::: G)
E 8 G)
E 9 G)
en 10
11
12
13
14
0 ~
'""' t--
~ '\ -+- Static-Cycle2
l 1'\ - Static-Cycle 1 r-
~ ~
""' ___..,_ PDA t--.....
~~r--, " 1\. ~tangent 1--
"' .._ ~ 1'--. "' r-....
\ ~ ........_ .....,
~ " i"'-.,
"" ~
............. ~~ ~ J
' "' ............... fll... .......... ~ ~ ~
""' ~
b--.~ ~ i' ""' & ""' ['... ~ ~ ~ !'.....
........ ~ !\.. l
.............
'-..... ~ ~
·~---~ ~ 15
Figure 3.9 Application of Van Weele method to the results obtained from P050 Static Load Test
P 042 Loads (Tons)
0 250 500 750 1000 1250 1500 1750 2000 2250 2500 2750 3000 3250
0
1
2
3
4
5
E 6 E 7 .. r::: G) 8 E G)
9 i en 10
11
12
13
14
15
16
~ ~ ~ ,.
~ ~ '-.. \ -+-Static-Cycle2
""" ~ ~ ~ \
1\ ~ -.........::: ~ ""' \ - Static-Cycle
1
"' "~~...... "<::iii
~ [\ ___..,_ PDA ~----___
~ ~ ---""' ~
~ ...... ~ ~"-.... ~ r-.... " "" /_!;
""'i.: t---..... ' ~ ........ I'... l5 1
I I'-. '\ ""' !'-... ~ '--
""" ......._ ... ~ ~ ......
\ I i
: • T L -
'cation of Van Weele method to the results obtained from P 042 Static Load Test
I>ESIGN OF CIB PILES
p 014 Loads (Tons) 0
0
250 500 750 1000 1250 1500 1750 2000
2
3
4
5
E6 E i:7 G)
E .!8 il cng
10
11
12
13
14
~ \ ~ ~ ~ \
\~ ~' \ "" ~ "" \ ..__ "'- ~ \ ~
""' ~ "
I\ -+-Static-Cycle2
\ --Static-Cycle 1
~ \ ___..,._ PDA
' \ ~tangent
~" ~ '~ ~"' ~" "" I'- ' ~ ~ "" ' ~ ~
r--... ' ~
' '\ "" ~~ ~
Figure 3.11 Application of Van Weele method to the results obtained from P 014 Static Load Test
J~'
Skin friction obtained from using PDA results and SLT results are tabulated in Table 3.2.
Table 3.2.Results of the comparison between SLT results with PDA results
Pile No Skin friction from the Skin friction from the Comment
CAPWAP-kN Van Weels method-kN
P 014 (1200 dia.) 9660 3200 Different
P 042 (1500 dia.) 18750 8220 Different
P 050 (1800 dia.) 19450 8200 Different
0
5
10
15
20 E E ~5 G)
E jo G) en 35
40
45
50
0 250 500 750 ~cPO'JI
..... _
---- ·-- --
DESIGN OF CIB PILES
1250 1500 L1~s (Ton~6oo -"\
1\
r\ -+-Static-Cycle2
\ - tangent
_l \
\
\ ----
Figure 3.12 Application of Van Weele method to the results obtained from P 078 Static Load Test
From the Load-Settlement curves given in Figures 3. 9, 3.10 and 3.11, it can see that
there is no 'straight line portion' as described by Van Weele. That means the piles are still in J:;,.
the region where the SF is the governing criteria for the total capacity. This is similar to the
region "OA'' in Van Weele graph in Figure 3.8. For this comparison the line has drawn by
considering the last two point of loading cycle. An assumption was made by assuming those
two points are lying in AB region given in Figure 3.8. Values obtained for skin friction using
Van Weele method are very much on the conservative side and it is not represents the fully
mobilized skin friction. This is because even under the load of 2.5 times working load these
piles were not achieved their full skin friction.
But P078 failed due to "soft toe". It has under gone excessive settlement thus ultimate
skin friction should be mobilized. The application of the Van Weele method to load
settlement curve of P07 8 yields a mobilized skin friction of 1216 tons. This is very much
high, when compare with other three mobilized SF from SLT given in Table 3.2. So the
expected ultimate skin friction for 1800mm diameter pile is around 1200 tons. This is a
reasonable figure when it compared with the average skin friction of 1800mm pile given in
Table 3.1. Due to the weaker toe area it could not expect SF to be generated in the socketed
DESIGN Of' CIB PILES
area, thus the value of 1216 tons is mainly the SF generated from soil. This ensures the
argument of high SF value developed in the sandy soil region.
Respective PDA test curves are drawn in same figure to make it easy to compare with
SLT Load-Settlement curves. Two curves are moving very closer to each other. This shows
the load and settlement behavior in both static and PDA are very similar in this particular site
used for this case study. This argument again ensures that the results given by the PDA this
case study are acceptable to the required limits of this research.
0
5
10
15
20 E E .. ~25 E Ill E ~30
35
40
45
50
Loading cycle only
0 250 500 750 1000 1250
-!z::,
~ ~
- -
J Loads (Tons)
1500 1750 2000 2250 2500 2750
--r---. r----1 \ -...........
!'+. \ \ -+- P78
1\ -.- P50
\ ..
\ \
-- ~ -·-"---'
Figure 3.13 Load-Settlement behavior of all static load tested piles
The load-settlement behavior obtained from SLT tests are including in the above
figure. Only the loading cycle is considered here. The load-settlement behaviors are very
similar up to 1250MT in the each case except P014 which is a 1200mm diameter pile. P014
curve also acceptable since it shows only a 5mm difference in the settlement up to 1250MT.
As a conclusion it can say that all piles are settled in similar way under different loading and
thus tbe result for SF given by the P078 can be considered as a general case for this case
study.
3.4.3 Discussion on the application of Chin's (1978) method
Chin (1978) proposed that the plot of the ratio between the settlement and the load (SIP) and
the settlement (S) consists of two linear segments. A plot of the (SIP) vs. S for a static load -
settlement curve is shown in the Figure 3.14. According to Chin ( 1978), the inverse of the
slope of the second segment yields the total ultimate carrying capacity and the inverse of the
slope of the first segment gives the ultimate skin friction capacity.
~
0~25 z ~ E ! 0.02
,'
/
~ ~
0~ 15 0 ~
~ =
' ~
ont ] .• E ~ Jl' ' t 0~05 .~-~ ~
0
0 10 20 30 40 Settlement (mm) , ..
Figure 3.14 SIP vs. S considering two linear segments according to the Chin (1978).
Figure 3.15 to 3.17 gives the application of this method for the piles PO 14, P042 and
P050. Tangents to the curves are drawn in a more conservative way by connecting selected points
in the curve. The inverse of the gradient of Line 1 and Line 2 of respective charts are calculated
and tabulated in Table 3.3.
The values predicted by Chin's method match with the CAPWAP results to some extent
and thus show the values given by CAPW AP analysis are acceptable for the purpose of this case
study. Smaller diameter pile tends to give more accurate result than lager diameter piles. This is
obvious as the there are so many other factors involved in calculating the capacities of lager
diameter piles.
I>ESIGN OF CIB PILES
To mobilized ultimate skin friction it should allow the pile to move downwards to some
considerable extent as describe in previous chapters. With out considerable settlement ultimate
capacities would not mobilize. Thus the ultimate total capacities predicted are not match with the
total capacities predicted by the CAPWAP analysis.
Table 3.3 Comparison between SLT results with PDA® results using Chin Method ( 1979)
Pile No
P 014 (1200 dia.)
P 042 (1500 dia.)
P 050 (1800 dia.)
P078 (1800 dia.)
O.OOG
0.0055 --
0.005
' e 1 .!1 0.0045 -~ i e j
().004 .
a.o~s
0.003
a
Skin friction from Skin friction from the
the CAPW AP -MT Chin's method-MT
966 943
1153 923
1945 3458
- -
P 050 - Cnin Mirthod
Lin{} $~~~-·
2 ~ 6 a 1.0
Settlement mm
Figure 3.15 Application of Chin Method for P050 pile
Ultimate
Total
J Capacity-MT
3083
4000
7692
-
iii:
, ..
12 14 1&
I>ESIGN OF CIB PILES
Cl'lln Metod - P 042
0.01)6. - --- --- - --------
o.oos
0.004
t 1 S C.C03< : J ii E
i D.DDJ
O.OOl
D
0 2 4 0 8 10
5il!ltfement mm
Figure 3.16 Application of Chin Method for P042 pile
Chin Metod • P 014 0.011 - · j~·
O.ql :-
0.00!> ..l;.t~d])
'l;: ·~
l ~~ . .... ;.::: -.- L ""' &
~ 0.00!!
I E 0. 1>~7
I ·~· "'
1l.OO!l
o.oos
0.00.:
0 .; 6 " 10 1~
Set:tlr:ment 111m
Figure 3. 17 Application of Chin Method for P014 pile
11
l4
3.5 Estimation of Skin Friction
3.5.1 Beta-Method (~-Method) for Side Resistance
For the analysis of shaft resistance, Johannessen and Bjerrum (1965) and Burland (1973)
established that the unit resistance is proportional to the effective overburden stress in the soil
surrounding the pile. The constant of proportionality is called beta-coefficient, ~' and is
assumed to be a function of the earth pressure coefficient in the soil, Ks, times the soil
internal friction, tan ~1 , and times the quotient of the wall friction (Bozozuk, 1972). Thus the
unit shaft resistance q5 follows the following relations.
q5={3 X av/ {3 = M K5 tanctJ1
Where
Qs - Unit resistance at depth z
~ - Bjerrum- Burland beta coefficient
crv/- Effective over burden pressure at depth z
M- Quotient of wall friction= tan 811 tan ~/
o 1 - Effective soil pile friction angle
~1 - Effective soil friction angle
K5
- Earth pressure coefficient Q
~
rf b
HI qs (/)
Qs , ~
• L-1
Qp
Figure 3.18 Terms and symbols for pile analysis
(01)
(02)
J:;,.
One can develop a wide range of beta-coefficients from a combination of possible earth
pressure coefficients, friction angles and wall friction quotients. However it appears that the
variation of the beta-coefficient is smaller than the variation of its parts would suggest.
In analyzing measurements on piles subjected to down drag, Bjerrum et al. (1969) found that
the beta-coefficient in the soft silt clay ranged between 0.20-0.30. This range can be
considered the lower boundary of the beta-coefficient. While the theoretical upper boundary
obviously can be very large, there is a practical limit governed by the density and strength of
the soil in which the pile is driven or otherwise installed. For piles in very dense soil the
upper boundary can be approach and exceed a value of 1.0, but usUally an upper limit of 0.8
is assumed. Following table suggests a relative range of beta values. The ranges shown are
very wide and very approximate.
Table 3. 4 range of Beta -Coefficients
Soil Type ~ beta
Clay 25-30 0.23-0.40
Silt 28-34 0.27-0.50
Sand 32-40 0.30-0.80
Gravel 35-45 0.35-0.80
,~.
Although it has been proven conclusively that the transfer of load from a pile to the soil by
means of shaft resistance is governed by the effective stress, for piles in clay, a total stress
analysis can be useful in site-specific instances. Also, enough information is often not
available to support a reliable design based on effective stress analysis. A total stress analysis
may then be used, which means that the shaft resistance is equal to the untrained shear
strength of the soil and independent ofthe overburden stress:
qs = aru
Where
Tu- Untrained shear strength
a- Proportionality coefficient
(03)
However, the total stress analysis can only lead so far and effective stress analysis according
to equation 01 provide better means for analysis of test data and for putting experience to use
in a design. Of course, more sophisticated effective stress theories for unit shaft resistance
exist. However, in contrast to most of these, the effective stress approach according to
Equations (OJ) is not restricted homogeneous soils, but applies equally well to piles in
layered soils and it can easily accommodate non-hydrostatic pore pressures.
Equation (04) gives the total shaft resistance as the integral of the unit shaft resistance over
the embedment depth:
Q5 = f0h rz dz = f
0h As (cl + {3crvi/ )dz (04)
Where
Qs- Total shaft resistance (fully mobilized)
As - pile unit circumferential area
h- Pile embedment depth
For sandy soil where c1 tends to zero, the above equation can be modified as follows.
Q5 = f0h rz dz = f
0h As {3crvil dz (05)
Das (1999) has followed the same principals and derived the much simplified versions of
above equations for side resistance in sand. The method by Das (1999) is based on at-rest
earth pressure coefficient,K0 the average effective vertical stress found at the midpoint of the
soillayer,av/ and the friction angle ~· The total side resistance in cohesion less soils is found
by Equation (05), where the effective stress, av/ is multiplied by its pertaining empirical J:;, .
beta factor, ~' given in Equation (06) & (07), and the depth of the soil layer, D. The
summation of this product from each layer multiplied by the perimeter length gives the total
side resistance,Qs.
Qs = P X D X S X ({3 X av/) X Li (06)
f3 = K0 x tan~ (07)
K0 = 1- sin~ (08)
3.6.1. ICTAD Method (ICTAD Specification for Pile Construction)
This is one of the methods, which is most commonly used in Sri Lanka. According to
this method skin friction totally depends on the SPT N values. Variation of skin friction
along the pile shaft is similar to the variation of SPT N values. This is one of the simplest
methods that can be used to evaluate skin friction of bored piles.
Skin friction up to the Rock,
Q5 = 1.3 X Ab X N
Skin friction in the rock
Q5 = 2.0 X Ab X N
Sample calculation is given under Annexure A.3.2.1.
3.6.2. O'Neill and Reese (1999)
(09)
(9a)
Methods used to evaluate skin friction in this section are extracted from the research project
conducted by David A.Seavey and Scott A. Ashford in the Department of Structural
Engineering of University of California in December 2004. Discussion in this section is
mainly to give a basic idea on these methods in a structural point of view and readers are
referred to full research report "Effect of Construction Methods on the Axial Capacity of
Drilled shafts" by same authors for further details. ,~.
The beta-method given in O'Neill and Reese (1999) is one of the methods that most
commonly used in practice. It gives the following equations for finding the unit side
resistance, q5 (kPa) and ~' where ~ is the beta factor for the pertaining layer.
qs = f3 x <Iv/ (10)
The beta factor is a dimensionless correlation factor between the vertical effective
stresses, crv/, found at the midpoint of the soil layer, and the unit side resistance, q5• Beta is
limited to a minimum of 0.25 and a maximum value of 1.20 (0.25 ~ ~i ~1.20) and q5 must
not exceed 200 kPa (2.1 tsf) (O'Neill and Reese 1999 and Caltrans 2000).
For sands with an SPT N-value greater than or equal to 15 (N 2: 15), ~i is found by
(11) in metric units, where SPT N is the average SPT blow count for the soil layer, and Zi 1s
the vertical distance from the ground surface to the middle of the soil layer, in meters.
= 1.5- 0.245 x Cza 0·5 11)
If the SPT N-value is less than 15 (SPT N < 15) then the dimensionless correlation
factor is scaled by a ratio of the SPT N-value.
f3i = (:S) (1.5- 0.245 X (zJO.S) (12)
For gravelly sands or gravels with an SPT N-value greater than I5, O'Neill and Reese
(1999) provide the following Equation (13). However, if the SPT N-value is less than 15, ~i
is scaled accordingly as shown with Equation (14).
{3i = 2.0- 0.15 x (zJ0·75 (13)
f3i = (:S) (2.0- 0.245 X (zi) 0·5) (14)
Soil that exceeds a blow count of 50 is named as an intermediate geomaterial (IGM). The
following equations apply for the side resistance of IGMs in cohesion less soils.
q 5 = av/ X Koi X tan~~ (15)
0.34 ):;,.
~~ = tan- 1 N1 (16)
( 123+203x( :0))
( ) sin<)>~ Koi = (1- sin~/) X 0.2 X PaX N/
(JVl
(17)
The blow count value, SPT N, should be limited to 100, even if tests give a higher
value. The angle of internal friction,~~ pertaining to the layer of consideration, and Kai is the
at rest earth pressure coefficient in the layer. The vertical effective stress ati is found at the
midpoint of the layer. Sample calculation is given Annexure A.3.2.2. In this sample
calculation one pile has selected (P088) and layer by layer evaluation has done using O'Neill
and Reese method (1999).
3.6.3. Vesic Method (1967)
Most of the design methods developed for piling are empirical methods. But the
Vesic method developed in 1967 has developed based on the behavior of the vertical stress
around the pile. In order to develop a method of ultimate load prediction that better
represents the physical reality than the other approaches, and is not excessively complicated,
an idealized distribution of effective vertical stress O"ti with depth adjacent to a pile is shown
in Figure 3.19. O"ti is assume to be equal to the overburden pressure to some critical value
(CJti) at a critical depth Zc, beyond which vertical effective stress remains consistent. The use
of this idealized distribution, although simplified, leads to the two main characteristics of
behavior observed by Vesic: namely, that the average ultimate skin resistance and the
ultimate base resistance become constant beyond a certain depth of penetration. If the pile
soil adhesion Ca and the term cNc are taken as zero in equation and the term
~ {JByNy neglected as being small in relation to the term involving Nq, the ultimate load
capacity of a single pile in sand may be expressed as follows.
Pu = J Fw CO"tiKs tan~a dz + AbO"tbNq- W (18)
m v m :.~ J Z
J~'
L o'vc
j Figure 3.19 Simplified distributions of vertical stresses adjacent to pile in sand
On the basis of the test results of Vesic (1967), values of the dimension less critical
depth Zc/d and K5 tan~~ with ~/,are shown in Figures 3.21 and 3.20 respectively.
-o
' u ...
z c /d vs (6
2Qa I J I I I I t t t I t i I i l
i5 1--l
~~ ~£\ A.~
0~
Figure 3.20 Charts of Zcvs. ¢/
In a layered-soil profile, the critical depth Zc refers to the position of the pile
embedded in the sand. It should be emphasized that these relationships may be subject to
amendment in the light of further test results. For example, at present, the dependence of the
K5 tan~~ on the pile material is not defined. Vesic' s tests were carried out on steel tube piles,
but the values of K5 tan~/ derived from these tests appear to be applicable to other pile
a
materials. However, in the light of future test results it may be possible to derive different
relationships for different pile materials.
The values for K5 tan~/ can be obtained from the data of Meyerhof (1976) and the
a
graph is shown in Figure 3.21. The values given in the graphs are in the range of32°::::; ~/::::;
38°. But some of the ~/ values obtained from the soil tests conducted in local sites are much
higher than that as shown in Table 3.5. So, there is a restriction to use above chart to obtain
K5 tan~~ values for soil with high ¢/value.
Table 3.5 practical valuesfor ¢/obtained from local projects.
Project ~I
Dawson Grand Tower, at Colombo 02. 28°-50\J
Trillium Residencies, Colombo 08 30u -50°
Mayfair City, Colombo 03 30°-50\J
I
Volwzs of K 5 ton 0 0 Bosad on Ma:yc:zrhOf ( 1976)
1·6 tt J t t I 1 tIft 1 lIt 11
t. 2
0·8
-- 0 ~ c 0
0-41 I ~ .. ,_-...........,..........-{
I l I I I. I li Q I I I I l I I ! ~0 40
0' 1
Figure 3.21 Mayerhof(l976) charts ofK5 tan rfa vs. ¢/
3.8.4. William et al. (1981)
William et al. ( 1981) suggested that for piles installed in sandstone, mud stone or
shale. the skin friction qs in the rock socketed length of the pile can be estimated using the
relationship given in Equation ( 19). This method can only be used to estimate skin friction
generate in weathered or intact rock layers.
fs = af3quc (19)
que is the unconfined compression strength of socketed rock, which can be calculated using
point load index given in rock compressive test results.
Where the factors a and ~can be obtained from the Figure 3.22 & Figure 3.23. The
mass factor 'j' can be obtained from the guidelines proposed by Hobbs ( 1975) given in Table
3.6
Table 3. 6 Estimation olmassfactor .'i'
RQD (%) 0-25 25-50 50-75 75-90 90-100
Fracture Frequency per meter Mass factor ''j"
15 0.2
15-8 0.2
8-5 0.2- 0.5
5-1 0.5- 0.8
I 0.8 -1.0
1.0 11 i > I i t I I I I I I I t I f J I I f -r 1 1 1
rn
0.8
0
~ 0.6
.;:! c; 0
"fi ~ "' ~ 0.4
"' " 0
"' "' " &. 0.2
0.0
'" e<fJqK ~ \ I
)J.....----Rosenberg & Jotrmeaux
Unconfined compression strength, que MN/m2
Reduction factors for rock socket skin friction ( Tomlinson, 1994)
Figure 3.22 Chart for rock socket correctionfactor, a
I ! ' I
..
1.0
00 0.8
B-u co -r: 0.6 0 u (!) ,_ 0 u 0.4 0)
""' (,)
0 If)
t5 0,2 0
0:::
0
Pile bearing on rock
0.2 0.4 0.6 0.8
Mass tactor,J
Figure 3.23 Chartfor rock socket correctionfactor, fJ
1.0
The relationship given by equation assumes that the side of the rock socket is free
from debris and not smeared with the material wash down the borehole. A conservative
analysis, assuming RQD less than 25% and unconfined strength of 10 MPa, yield a and ~
values 0.65 and 0.13 respectively. The use of the relationship given in the equation results the
skin friction resistance of 845 kPa within the rock socket. Wyllie (1991) suggested that the
use of bentonite during the drilling process reduces the skin friction and if bentonite is used
the skin friction of the rock socket should be taken as 25% of a clean rock socket.
3.9. Tip Resistance (End Bearing)
When designing for cohesionless soil conditions under the axial loading of bored and
cast in-situ concrete piles, soil investigations must determine what the density of the soil is,
usually by a standard penetration test (SPT). The load-bearing capacity is then calculated
based on the SPT blow count. N. Blow counts are the number of times it takes for a dropped
hammer to penetrate one foot into the soil, which directly relates to the bearing resistance.
However, since the bored and cast in-situ concrete piles are stationary objects that bear on
the soil in a less dynamic manner than a dropped hammer, the blow count value can be
increased by a specified amount to obtain the estimated bearing capacity. According to
Caltrans, soil is considered to be competent when theN-value is greater than or equal to 20
for upper layers, and 30 for lower layers. This means that the soil is adequate enough to
I I,
withstand axial loads without remediation of the soil. Soil is considered poor when the N
value is less than 10, and the soil is too weak to withstand axial loading. When the value is
between 10 and 20, the soil is classified as marginal and additional investigation is
recommended (Caltrans 1997).
According to O'Neill and Reese (1999), the soil is classified as cohesionless when
the blow Count is less than or equal to 50. and the tip resistance can be found by Equations
(20) & (21). If SPT value is greater than 50, the material is an IGM.
qp = 0.60 X N (tsf) (20)
qp = 57.5 X N (kPa) (21)
This procedure is fairly simple in application and thus should be used as an estimate
of the tip resistance and not taken an exact value. Caltrans uses this equation for
cohesionless soils with N-values less than 75, and qP is limited to a maximum value of 3830
kPa (40 tst}
For IGMs the following Equation (22) is recommended by O'Neill and Rees.e (1999).
Other equations for reduced base resistance for IGMs can be found in the 1999 FHW A
Manual for Drilled Shafts.
qp ( )
0.8
0.59 x ~ x a~b(kpa) Palavb
(22)
As with the side resistance IGM equation, N should be limited to 100. The
atmospheric pressure,Pa in the Sl system is 1 01 kPa, and the vertical effective stress, a~b is
the value calculated at the elevation at the base of the pile, in kilopascals (O'Neill and Reese
1999). Similar to calculating the bearing capacity in clays, displacement limits may also be
taken into account when calculating the bearing resistance in sands. Das (1998) recommends
reducing the above equation to qpr when the pile diameter, D, exceeds 50 inches. Caltrans
also uses this reduction
- [~] xq Qpr - D(in) p (23)
The lip resistance may also be calculated using the effective stress at the base of the pile
multiplied by a bearing capacity factor,Nq, which is difficult to obtain in the case of CIB
piles because the original Nq factors were based on piles, which are driven, and CIB piles are
not. Therefore, Nq values are lower than what is used in calculations for bearing capacities of
piles Several researchers have provided values for Nq for CIB piles; however, these values
tend to vary by a great amount, so experience and good engineering judgment must be
utilized. The weight of the CIB pile is subtracted out of this equation by assuming that the
em pile weight is approximately equal to the soil it has replaced.
Qp,net = Ab X (J~b X (Nq - 1) (24)
Values for N q can be found in tables provided in textbooks under methods for Vesic,
Meyerho[ and Terzaghi, to name a few (e.g. Das 1999).
ln general, tip capacity is mobilized at displacements that far exceed the displacements
required to activate side resistance (Osterberg 2000). This can be attributed to the
construction of the pile. Disturbed or loose soil at the tip of the pile, due to excavation or
drilling t1uid deposits, must compact before it will provide resistance. This requires several
inches of displacement. If this sediment could be compacted beforehand, this required
displacement is eliminated and axial capacity can be mobilized to resist loads in unison with
the side resistance (e.g. Osterberg 2000, Walter eta!. 2000, Littlechild et al. 2000, Dapp et
a!. 2002, and Mullins et al. 2000). For example, Caltrans will only recognize full tip
capacity to be contributing after a displacement equal to 5% of the pile diameter has
occurred, and typically, tip resistance is completely discounted due to the possibility of a
soft bottom occurring. Cleanout methods, such as pressure washing with U-tubes (Lin,
2000), and post-grouting methods can aid in preventing soft bottoms. Studies concerning
post-grouting have proven to be very effective in reducing displacements and increasing the
axial capacity. The methods covered so far are for the axial design of CIB piles, which does not take
into account the reinforcement design. CIB piles are also designed structurally in order to
\Vithstand t1exural (lateral) and axial loads. Lateral behavior is not the focus of this research
study.