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Case Studies on the Application of Structural Reliability 135





























           Figure 5.7 Multifailure system analyses.

           states must be classified under series system criteria, since violation of each will
           cause the failure of the whole system (Fig. 5.7).
             The following formulation represents the overall probability of failure of the
           system:



                       P f tðÞ 5 1 2       1 2 P f1 1 2 P f2 1 2 P f3 P f4 P f5 P f6      ð5:18Þ
           where P f1 is the probability of flexural failure, P f2 is the probability of wall thrust
           failure, P f3 is the probability of ring deflection failure, P f4 is the probability of
           pitting failure, P f5 is the probability of buckling failure, and P f6 is the probability
           of longitudinal deflection failure.
             For an inclusive reliability analysis, the effects of the stochastic variables on
           the system failure of the pipeline are analyzed by performing a sensitivity analysis
           of involved parameters.
             Given that these variables are involved in the pipeline corrosion process and
           the limit state functions, finding the variables that affect the failure most is of
           utmost importance.

           5.2.2 RESULTS AND ANALYSIS


           In this case study, the number of trials for Monte Carlo simulation is 10,000. The
           selected number of trials guarantees the smoothness of the estimated probability
           trend in Figs. 5.8 5.12 and eventually the accuracy of the estimations. A further
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