Page 511 - Marine Structural Design
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Chapter 27 Fatigue Reliability                                        487

                   initial crack size is treated as random variable where the distribution is selected as exponential
                   as given by Eq. (27.10).
                   The material constants in crack growth analysis are characterized by the two parameters C and
                  m.  Due to  the  uncertainties observed  from the  experimental studies, C and m  should be
                  modeled  as random  variables. It  is  generally accepted that  C  is  modeled  as a  lognormal
                  distributed and m is normal distributed.
                  The  geometry correction factor that is determined by Newman-Raju equation or the hybrid
                  method involves large uncertainty. Its uncertainty is included in the E,,.
                  The  critical  crack  size  can  be  selected  as  a  random  variable  or  fixed  variable  based  on
                  serviceability conditions.
                  27.3.4  Simplified Fatigue Reliability Model - Lognormal Format
                  For fatigue reliability assessment using lognormal format, uncertainty is introduced as the bias
                  factor in  fatigue stress while the  other uncertainty associated with  fatigue strength are all
                  treated as log normal random variables. This was first developed by  Wirsching (1984) and
                  hrther implemented by Wirsching and Chen (1988).
                  Eq.(27.8) may be re-written as

                                                                                     (27.22)

                  where the stress parameter is defined as the follows and may be considered as deterministic,



                                                                                     (27.23)

                  There will be a closed form solution for the fatigue failure probability,
                       Pf = P[N 5 NT]                                                (27.24)

                  Assuming the analytical form follows the lognormal format, the reliability index p may be
                  defined as



                                                                                     (27.25)
                             Oh N

                                                                                     (27.26)


                                                                                     (27.27)
                  where C, denotes the COV of each variable.
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