170 3. THE DIMENSION OF A COMPONENT WITH REQUIRED RELIABILITY
e maximum compression stress on the critical cross-section as shown in Figure 3.9 is the
bottom line B and is equal to
B
D
bending
C
compression
D
M
y
h=2
bh
3
=12
C
F
z
bh
D
6M
y
bh
2
C
F
z
bh
: (b)
(2) e limit state functions.
e stress at line A is the maximum tensile stress. e limit state function of the column
in line A by using the maximum normal stress theory [1] is
g
S
ut
; F
z
; M
y
; b; h
D S
ut
6M
y
bh
2
F
z
bh
D
8
ˆ
ˆ
<
ˆ
ˆ
:
> 0 Safe
0 Limit state
< 0 Failure:
(c)
e stress in line B is the maximum compression stress. e limit state function of the column
at line B by using the maximum normal stress theory [1] is
g
S
uc
; F
z
; M
y
; b; h
D S
uc
6M
y
bh
2
C
F
z
bh
D
8
ˆ
ˆ
<
ˆ
ˆ
:
> 0 Safe
0 Limit state
< 0 Failure:
(d)
ere are five random variables in these two limit state functions (c) and (d). e loading F
Z
and M
y
can be treated as normal distributions. eir distribution parameters can be determined
by Equation (1.2). Geometric dimensions b and h can be treated as normal distributions. eir
distribution parameters can be determined per Equation (1.1). e distribution parameters for
these two limit state functions are listed in Table 3.39.
Table 3.39: e distribution parameters of random variables in Equations (c) and (d)
S
ut
(ksi) S
uc
(ksi) F
z
(klb) M
y
(klb.in) b (in) h (in)
μ
S
ut
σ
S
ut
μ
S
uc
σ
S
uc
μ
F
z
σ
F
z
μ
M
y
σ
M
y
μ
b
σ
b
μ
h
σ
h
22 1.6 43 3.3 87 2 610 10 3 0.0025
μ
h
0.0025
(3) Use the modified Monte Carlo method to determine the mean
h
of the height h.
Following the modified Monte Carlo method discussed in Section 3.2.5 and the flowchart
shown in Figure 3.5, we can make MATLAB programs for the limits state functions (c) and
(d).
e iterative results for the limit state function (c) are listed in Table 3.40.