Environmental Engineering Reference
In-Depth Information
[FS, P f ] exist such that Equations 11.6 and 11.7 are equivalent. The functional relationship
between the pair [FS, Pf∗] f ] has the form expressed in Equation 11.8 .
g
()
θ
=
[
]
n
PgZ
,
θ
<
0
P
(11.8)
f
FS
According to its definition, the normalized limit state function, denoted by G(Z,θ), can be
expressed by Equation 11.9.
θ= [ Z θ
θ
g
g
,]
()
GZ
(,)
(11.9)
n
And Equation 11.7 can be rewritten as Equation 11.10 .
g
()
θ
=
1
=
n
Pg
[,]
Z
θ
<
0
P
G
[,]
Z
θ
<
P
(11.10)
f
FS
FS
This means that 1/FS is the (1 − Pf∗) f ) percentile of the random variable G. The relationship
between FS and P f can be determined using Monte Carlo simulation, drawing N samples
from Z and θ, and calculating the N values for G(i) (i) = G(Z (i) (i) ). For a chosen FS value, the
corresponding Pf∗ f value can be estimated with Equation 11.11 .
1
N
1
FS
ˆ
P
*
IG
(i) <
P
(11.11)
f
f
Further details and discussion on this method can be found in the referenced paper
(Ching, 2009). The premise that the distribution of G(Z,θ) is invariant over the entire allow-
able design region D can be achieved only if the correct nominal limit state function g n (θ) is
found, which is usually a difficult undertaking, although finding a nominal limit state func-
tion for which the premise holds approximately is relatively simple, since g n (θ) = g(E(Z),θ) is
usually an acceptable choice.
It is important to note that for certain geotechnical problems, the FS can be defined in dif-
ferent ways. For instance, in shear problems (slope stability, sliding of a dam along its foun-
dation contact), the FS can be defined as the ratio between strength and stress, or resistance,
R, and loading, L. This is the case if limit equilibrium models are used ( Equation 11.12 ) .
R
L
(11.12)
FS
=
On the other hand, it is common that if finite-element models are used, the FS is defined
as the ratio between a value of a strength parameter, φ, and the ultimate value before failure,
φ failure ( Equation 11.13 ) .
ϕ
FS
=
(11.13)
ϕ
failure
 
 
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