An improved stochastic model is used to investigate the fatigue failur
e of a structural or machine component under random excitations. The f
ailure is treated as a classic first-passage event in which a dominant
crack grows to the critical length. Two specific improvements are mad
e over previous analyses in that the critical crack length is treated
properly as an absorbing boundary for the crack growth process, and th
at the correlation among the successive stress cycles which induce the
crack growth is taken into account. Analytical and numerical results
are given of the probability density and statistical moments of the fa
tigue life, and of the reliability function in the case of the Gaussia
n stress process.