The conventional method of fracture probability calculations such as that a
dopted by the NRC-sponsored PRAISE CODE and the FAVOR CODE developed in thi
s laboratory are both based on Monte Carlo simulation. Heavy computations a
re required. A new method of fracture probability calculation is developed
by direct probability integration. The preliminary version of the developme
nt was published in an earlier paper. More detailed development of the meth
od is presented here. The present approach offers simple and expedient meth
od to obtain numerical values of fracture probability. This method can be a
pplied to problems as general as the method of Monte Carlo simulation. This
approach also provides a clear physical picture on the meaning of the prob
ability of fracture. Parametric studies are made in this paper to show the
variation of the numerical values of the probabilities of fracture as a res
ult of the change of the standard deviation of either fracture toughness or
the radiation-induced temperature shift. Also, it is shown numerically tha
t a limiting probability can be obtained if the standard deviation of the f
racture toughness approaches zero that implies a deterministic fracture tou
ghness. It confirms the theoretical proof shown in Eq. (11). The limiting p
robability is the simplistic probability of crack count used by this author
where both toughness and temperature shift are assumed to be deterministic
values. The general probability of fracture developed here is simply a gen
eralization of the crack count, except the crack count is selected with the
appropriate fracture toughness in the toughness distribution. The toughnes
s for the problem considered here is then multiplied by the appropriate tem
perature shift in the distribution function of the temperature shift. Altho
ugh the present development is based on linear fracture mechanics assumptio
n and applied to the radiated reactor vessel steel, there is no difficulty
in viewing the present development as a general formulation that is capable
of handling as many random variables as required by the fracture model. Th
e multiplicity of the integration corresponds to the number of random varia
bles. The probability integral is applied in this paper to calculate the pr
obability of fracture for the high flux isotope reactor (HFIR) vessel that
has been weakened due to the radiation embrittlement. The random variables
used here are the crack length, the fracture toughness, and the radiation-i
nduced temperature shift that is needed in the Parametric representation of
the radiated vessel steel.