Actes du colloque - Volume 1 - page 523

542
Proceedings of the 18
th
International Conference on Soil Mechanics and Geotechnical Engineering, Paris 2013
Fr = [f
s
/(q
t
-
vo
)] 100, %
1
10
k
OCR
= OCR/[(q
t
-
vo
)/
'
vo
]
1.25
0.0
0.2
0.4
0.6
0.8
1.0
Idku
Metobus
Dammietta 3
Dammietta 4
PortSaid 2
El-Gamil
Dammietta 2
Average k
OCR
= 0.23
2
3
4 5 6 7 8 9
Robertson (2012)
Equ. (10)
Ladd & DeGroot (2003)
Robertson (2009)
Figure (6) Empirical constant k
OCR
for the sites in the study
(q
t
-
vo
)/p
a
0
2
4
6
8 10 12 14
o
= M
o
/(q
t
-
vo
)
0
5
10
15
20
25
30
Idku
Metobus
Dammietta3
Dammietta4
PortSaid2
El-Gamil
Dammietta2
Average
o = 3.5
Range from
literature
5.2. Constrained Modulus
Review of the available correlations between M and cone
results for cohesive soil was carried out by Lunne et al. (1997),
Mayne (2001), Pant (2007), and Robertson (2009). Attempts to
correlate M of cohesive soils to cone results have started since
mid sixties of the last century (Sanglerat, 1972). The following
expression shows the general form of the empirical correlation:
M
Subscript
=
Subscript
[q
Parameter
]
(11)
The subscript in Equ (11) could be nothing, i, np, n, or o as
in Equs (1 to 5). The empirical constant
as well as the cone
parameter, q
Parameter
, used in Equ (11) as reported in literature is
summarized in Table (2). According to the table,
o
is in the
range of 1 to 14. Sanglerat (1972) showed that
o
is inversely
dependent on q
c
. Robertson (2009) suggested that
o
is directly
related to (q
t
-
vo
)/
vo
with an upper limit of 14. The empirical
constant
o
is calculated for the data in this study and is plotted
versus (q
t
-
vo
)/p
a
in Figure (7), where p
a
is a reference pressure
of 100 kPa.. Ignoring some scatter, the calculated
o
values are
in the range of 1 to 8 with an average of 3.5, which is consistent
with the existing correlations in the literature. Sources of scatter
in Figure (7) include but not limited to; sample disturbance with
its influence on the measured compressibility and natural
variation between the location of borehole from which the
samples were extracted and that of the CPTU testing.
Table (2) Summary of components of empirical Equ. (11) in literature
Reference
Subscript
Range
q
Parameter
Comment
Bachelier and Parez (1965)
o
2.3-7.7
q
c
Flanders Clay
Sanglerat (1972)
o
1-8 *
q
c
France & Spain Clays
Jones & Rust (1995)
o
2.2-3.3
q
c
South African Clays
Pants (2007)
np
3.1
q
t
Louisiana Clay
np
3.27
q
t
-
vo
Louisiana Clay
Kulhawy & Mayne (1990)
8.25
q
t
-
vo
Senneset et al. (1989)
i
5-15
q
t
-
vo
Glava Clay
np
8
q
t
-
vo
Glava Clay
Abdelrahman et al. (2005)
o
1.25
q
t
-
vo
Port Said Clay
Mayne (2009)
5
q
t
-
vo
Vanilla Clays
Robertson (2009)
o
**
q
t
-
vo
* Dependent on type of soil and on q
c
values
** For Clays (Ic > 2.2)
o
= (q
t
-
vo
)/
vo
o
≤ 14
Figure (7) Empirical constant
o
for the sites in the study
6 SUMMARY AND CONCLUSIONS
1) The results of geotechnical investigations in seven sites in
the Nile Delta clays were used in this paper.
2) The compressibility parameters; OCR, C
c
and C
r
, and M
o
,
were calculated from EOP e-log
v
curves of total 125
consolidation tests carried out on “undisturbed” samples. The
SQD of the majority of the samples was B to C.
3) The compressibility parameters of each test were paired
with results from neighboring or adjacent piezocone test that
were recorded at the same depths of the samples. Such
pairing allowed for comprehensive review of the existing
empirical correlations to predict compressibility parameters
from in-situ piezocone results.
4) The OCR of the Nile Delta clays can be best predicted
using Equs. (8) and (9) using average k of 0.32 and average
k
OCR
of 0.23. Figs (5) & (6) suggest that k and k
OCR
have the
general tendency to slightly increase with friction ratio, F
r
.
5) The M
o
can be best predicted using Equ. (11) with average
value of
o
of 3.5. Settlement analysis can then be carried out
using M
i
and M
n
that can be calculated using Equs (6) and
(7).
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