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Case Studies on the Application of Structural Reliability 149


                     100
                      90     t = 15 Years
                     Relative contribution  70  t = 45 Years
                      80
                             t = 30 Years
                      60
                             t = 60 Years
                      50
                      40
                      30
                      20
                      10
                       0
                          p  D  d  Km  Cd  Bd  Ep  Kd  Ic  Ct  F  Gamma  K  n
                                                          A
                                          Random variable

           Figure 5.19  Relative contribution of random variables in pipe failure at different
           times for external corrosion.

                    16
                    14
                    12                                   t = 25 Years
                   Sensitivity ratio  8                  t = 50 Years
                    10
                                                         t = 75 Years
                     6
                     4                                   t = 100 Years
                     2
                     0
                        K   n  p  D  d  Km  Cd  Bd  Ep  Kd  Ic  Ct  F  A Gamma
                                         Random variable
           Figure 5.20 Sensitivity ratio of random variables subjected to external corrosion for
           different elapsed times.

             Fig. 5.19 also shows that the relative contribution of some other variables
           (e.g., wall thickness ðdÞ, bending moment coefficient ðK m Þ, calculation coefficient
           ð C d Þ; and width of ditch ðB d Þ) is large at early ages, but it gradually decreases
           within time. This suggests the relative unimportance of these variables particu-
           larly for old pipes.
             Further sensitivity studies were carried out to investigate the effect on proba-
           bility of failure of the level of variability (i.e., coefficient of variation) of each
           of corrosion model coefficient (i.e., k and n) as major random variables.
           The coefficient of variation for each of these parameters was varied from 0 to 0.5
           in steps of 0.1. The coefficient of variation of all other variables was kept
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