Crack Paths 2012
N a a ' ) , , ( , , V w L w i w f
and ) , , ( , V r N a a N a a m i m w w i w a m ) ', , ( a ,
a w
w f
,
r N a a
(8)
V
a
m L m i m f ) ', , ( , ,
,
m f
m
2 ) / ( w m r V V ' ', the solution of which provides the quantities
with
wia, and
that
mia,
can be finally associated with the worst and a generic surface state of the material,
respectively.
A P P L I C A T I OON SFT H EE X T E N D EK-DTD I A G R ATMOS T E E L1045
In order to demonstrate its utility for fatigue life assessment of mechanical and
structural components, the above proposed approach is applied to the standard carbon
steel 1045 taking into account the mechanical and fatigue properties as reported in
Table 1 [6].
Steel 1045
Chemical composition
Carbon
Iron
Manganese Phosphorus
Sulphur
0.42 - 0.5
Balance
0.6 - 0.9
0.04 max 0.05 max
Mechanical properties
(MPa)
y V (MPa)
E (GPa)
K
n
u V
202
382
621
4.8077
4.0198E10
Fatigue properties
(MPa)
fc K
0 a (m)
C’ (m/cycle)
m
thK
0 V '
275
3.50
2.1218E-4 80 M P a m 7.1 M P a m8.20E-13
Table 1. Main chemical, mechanical and fatigue properties of the carbon steel 1045
(from [6]).
In the present case, rather than using the probabilistic model proposed by [3], the S-N
field is defined by determining the percentile curves corresponding, respectively, to the
probabilities of failure p=0 and p=0.90, from the results of a previous testing program
), as
M P a 500,400,300
carried out for three different fatigue stress ranges ( 'V
illustrated in Fig. 4.
The quantities
aworst
)max(maxa
and
abest
)min(maxa
are determined according to
Eq. (6) by considering failure conditions related to
N
cycles
, whereas,
5 1 0
7 9 . 1 ) 3 4 0 / 4 5 5 ( ) / ( 2 2 # ' ' w b r V V (Fig. 4) or, equivalently,
r5 8#3c. 0 l. n
By adopting the crack growth rate law by Donahue et al. [7], expressed by:
m t h K a Y C K G d N d a ) ( ) ( ' ' ' S (9)
the crack growth law ) ( N F e N a inserted into the system given by Eqs (8).
) ( is assessed and used to get the expressions to be
Since this system of equations is not easily solvable by analytical or numerical
standard techniques, it has been tackled by using a genetic algorithm (GA) [8-9].
1046
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