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
δ splane can be determined using equations similar to Equation 10.12 .
For a 2D potential slip (curved) surface in a 3D problem, such as that shown in Figure
10.4 , it is again in general very difficult to derive Γ 2 , but with a first-order approximation,
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
Equation 10.16 , where L x is the extent of the failure surface in the x-direction along the slope
perpendicular to the cross-section, as shown in Figure 10.4 , and δ x is the SOF in that direction.
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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