3.3. DIMENSION OF A COMPONENT UNDER STATIC LOADING 161
3.3.5 BEAM UNDER STATIC BENDING MOMENT
e limit state function of a component and its reliability calculation under bending moment for
strength issue and deflection issue have been discussed in detail in Section 4.9 of Volume 1 [1].
After the limit state function of a component under static bending loading is established, we
can run the dimension design with the required reliability. Now we will use examples to show
how to conduct component dimension design under bending moment.
Example 3.13
A square cantilever beam with a length L D 20
00
˙ 1=16
00
is subjected to a lateral force F which
follows a normal distribution with a mean
F
D 3:675 (klb) and a standard deviation
F
D
0:52 (klb). e yield strength S
y
of the beam’s material follows a normal distribution with a
mean
S
y
D 34:5 (ksi) and a standard deviation
S
y
D 3:12 (ksi). Use the modified Monte
Carlo method to design the side height d of the square beam with the required reliability 0.99
when the side height d has a tolerance ˙0:010.
Solution:
In this example, there is no dimension-dependent parameter.
(1) e limit state function.
e normal stress of the square beam caused by the lateral force F is
D
FL
.
d=2
/
I
D
FL
.
d=2
/
d
4
=12
D
6FL
d
3
: (a)
e limit state function of the beam is
g
S
y
; F; L; d
D S
y
6FL
d
3
D
8
ˆ
ˆ
<
ˆ
ˆ
:
> 0 Safe
0 Limit state
< 0 Failure:
(b)
In the limit state function, there are four normally distributed variables. e mean and standard
deviation of the length L can be calculated per Equation (1.1). e standard deviation
d
of the
side height, d can be determined per Equation (1.1). eir distribution parameters in the limit
state function (b) are listed in Table 3.30.
(2) Use the modified Monte Carlo method to determine the mean
d
of the height d .
Following the modified Monte Carlo method procedure discussed in Section 3.2.5 and the
flowchart shown in Figure 3.5, we can make MATLAB program for the limits state function (b).
e iterative results for the limit state function of this problem are listed in Table 3.31.