Environmental Engineering Reference
In-Depth Information
For a 1D potential slip curve in a 2D problem, it is in general very difficult to determine
Γ
2
. However, with a first-order approximation, the isotropic equivalent δ
E
can be computed
(El-Ramly et al., 2006) from
(10.13)
δ
=
δ δ
E
y
z
so that Γ
2
can be approximated as
(10.14)
Γ
S
2
=
[
2
L
/
δ
−
1
+
exp(
−
2
L
/
δ
)]
/(
2
L
2
/)
δ
2
v
E
v
E
v
E
where L
v
is the length of the potential slip curve.
For a 2D potential slip plane in a 3D problem, for example, a slope failure on a planar
surface, let the plane have extent = L
x
and SOF = δ
x
in the direction, x along the slope per-
pendicular to the cross section y-z through the slope, and length = L
splane
and SOF = δ
splane
in the cross-section. Then,
(10.15)
ΓΓΓ
2
=
2
2
splane
S
x
where
2
2
2
Γ
x
=
[L/
2
δ
−
1
+
exp(
−
2
L/ )] (L/)
δ
2
δ
(10.16)
x
x
x
x
x
x
(
)
Γ
splane
2
=
[L
2
/
δ
−
1
+
exp(
−
2
L/
δ
)]
2
L
2
/
δ
2
(10.17)
splane
splane
splane
splane
spla
ne
splane
For a 2D potential slip (curved) surface in a 3D problem, such as that shown in
Figure
it can be expressed as
(10.18)
ΓΓΓ
2
=
2
2
S
x
scurve
where Γ
2
is the variance reduction factor in the direction along the slope and Γ
scurv
2
is the vari-
ance reduction factor along the slip curve. Γ
2
can be determined using an equation the same as
Γ
scurve
2
can be determined using an equation similar to
Equation 10.14
,
where δ
=
δ δ
and
E
y
z
L
scurve
is the length of the slip surface in the cross-section plane through the slope.
L
x
L
v
Figure 10.4
Slope stability example showing the scales of fluctuation and autocorrelation lengths along the
slope perpendicular to the slope cross-section and along the failure surface.
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