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P. 273
1656_C005.fm Page 253 Monday, May 23, 2005 5:47 PM
Fracture Mechanisms in Metals 253
For a random variable T, the hazard function H(T ), and the cumulative probability are related as
follows:
T
F − ∫ H =− exp ( ) d T (A5.10)
T 1
T o
where T is the minimum value of T. By comparing Equation (A5.17) and Equation (A5.18), it can
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easily be shown that the hazard function for the weakest link initiation, in terms of stress intensity,
is given by
HK() = 4 K 3 (A5.11)
Θ 4 K
assuming B = B . The hazard function for total failure is equal to Equation (A5.11) times the
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conditional probability of failure:
HK() = P pr 4 Θ K 4 K 3 (A5.12)
Thus, the overall probability of failure is given by
K K 3
F 1 − ∫ 0 P =− exp pr 4 Θ 4 K dK (A5.13)
Consider the case where P is a constant, i.e., it does not depend on the applied K. Suppose,
pr
for example, that half of the carbides of a critical size have a favorable orientation with respect to
a cleavage plane in a ferrite grain. The failure probability becomes
K 4
F =− exp − 0 5 . (A5.14)
1
Θ K
In this instance, the finite propagation probability merely shifts the 63rd percentile toughness to a
higher value:
Θ = . 025 Θ = 2 . 1 19 Θ
K K * K
The shape of the distribution is unchanged, and the fracture process still follows a weakest link
model. In this case, the weak link is defined as a particle that is greater than the critical size that
is also oriented favorably.
Deviations from the weakest link distribution occur when P depends on the applied K. If the
pr
conditional probability of propagation is a step function
K 0, I K < o
P =
pr
K 1, I K ≥ o
the fracture-toughness distribution becomes a truncated Weibull (Equation (5.24)); failure can occur
only when K > K . The introduction of a threshold toughness also reduces the relative scatter, as
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discussed in Section 5.2.3.