Environmental Engineering Reference
In-Depth Information
Table 6.6 Example #2: Two-layer soil layer mass—parameters of the model
Parameter
Notation
Type of PDF
Mean Value
Coefficient of Variation
Upper layer soil thickness
t 1
Deterministic
8 m
-
Lower layer soil thickness
t 2
Deterministic
22 m
-
Upper layer Young's modulus
E 1
Lognormal
50 MPa
20%
Lower layer Young's modulus
E 2
Lognormal
100 MPa
20%
Upper layer Poisson ratio
Uniform
0.3
15%
ν 1
Lower layer Poisson ratio
Uniform
0.3
15%
ν 2
Load #1
P 1
Gamma
0.2 MPa
20%
Load #2
P 2
Weibull
0.4 MPa
20%
Table 6.7 Settlement of a foundation on a two-layer soil mass—reliability results
Threshold
FORM
SORM
Importance Sampling
u adm (cm)
P f ,FORM
P f ,SORM
P f , IS
β
β
β
12
1.02
1.09
1.07
1.54 10 1
1.38 10 1
1.42 10 1 [CoV = 1.27%]
15
1.64 10 2
2.13
1.36 10 2
2.21
1.43 10 2 [CoV = 1.67%]
2.19
20
1.54 10 4
3.61
1.17 10 4
3.68
1.23 10 4 [CoV = 2.23%]
3.67
21
3.86
3.94
3.91
5.57 10 5
4.14 10 5
4.53 10 5 [CoV = 2.27%]
The serviceability of this foundation on a layered soil mass vis-à-vis an admissible settle-
ment is studied. The limit state function is defined by
g ( X ) = u adm u A = u adm M FE ( E 1 , E 2 , ν 1 , ν 2 , P 1 , P 2 ),
(6.82)
in which the admissible settlement is chosen to be 12, 15, 20, and 21 cm. First, FORM and
SORM are applied, together with IS at the design point using n MCS = 10 4 samples. The latter
is considered as the reference solution. Results are reported in Table 6.7 .
Then PC expansions of the maximal settlement M PC are computed using different EDs
of increasing size, namely n = 100, 200, 500, and 1000 using the UQLab platform (Marelli
and Sudret, 2014). The obtained expansion is then substituted for in the limit state function
( Equation 6.82 ) and the associated reliability problem is solved using crude MCS ( n MCS = 10 6
samples). The results are reported in Table 6.8 .
Table 6.8 Settlement of a foundation on a two-layer soil mass—reliability results from PC expansion
(MCS with n MCS = 10 7 )
Threshold
n = 100
n = 200
n = 500
n = 1000
u adm (cm)
P f
P f
P f
P f
β
β
β
β
12
1.44 10 1
[CoV = 0.08%]
1.06
1.45 10 1
[CoV = 0.08%]
1.06
1.44 10 01
[CoV = 0.08%]
1.06
1.44 10 1
[CoV = 0.08%]
1.06
15
1.33 10 2
[CoV = 0.27%]
2.22
1.44 10 2
[CoV = 0.26%]
2.19
1.45 10 02
[CoV = 0.26%]
2.18
1.45 10 2
[CoV = 0.26%]
2.18
20
3.85
3.69
3.66
3.66
5.84 10 5
[CoV = 4.14%]
1.13 10 4
[CoV = 2.97%]
1.26 10 04
[CoV = 2.82%]
1.24 10 4
[CoV = 2.84%]
21
4.15
3.97
3.90
3.91
1.66 10 5
[CoV = 7.76%]
3.64 10 5
[CoV = 5.24%]
4.72 10 05
[CoV = 4.60%]
4.56 10 5
[CoV = 4.68%]
 
 
Search WWH ::




Custom Search