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Residual Strength ofDented Pipes with Cracks                          265


        Bursting of a pipe will happen at the uncontrolled tearing point in case the equivalent stress
        exceeds the flow stress. The bursting failure will lead to the pipe rupture. The LSF based on
        new fracture criterion can be formulated  as:
                    t  20
             g(~)=2---4os-'                                                (15.31)
                    Dn:


        where Z is the set of random variables involved in the new design format.


        By introducing the normalized random variables including model error, as discussed in details
        below, the new LSF is given by:

                                                                           (15.32)




        where P,-J is the design pressure which can be estimated from new design Equation (15.30),
        parameters MS and Kmat are given by Equations (15.4) and (15.8) respectively by introducing
        uncertainties  into  the  corresponding random  variables  and  the  subscript  c  indicates the
        characteristic values of corresponding variables.

        15.4.2  Uncertainty Measure
        Thoft-Christensen  and  Baker  (1982)  describes  a  typical  classification  of  uncertainties.
        Uncertainty can be measured by its probability distribution function and statistical values. The
        major uncertainties considered in this study include:

        Physical uncertainty: Caused by random nature of the actual variability of physical quantities,
        such as pipe geometry (wall-thickness), etc.


        Statistical uncertainty: Due to imperfect or incompletely information of the variable and can
        be reduced by additional information, such as dent depth, crack size, etc.


        Model uncertainty: Due to simplifications and assumptions made in establishing the analytical
        model, it results in the difference between actual and predicted results.


        Considering uncertainties involved in  the design format, each  random variable Xi  can  be
        specified as:
             Xi = B,  .X,                                                  (15.33)


        where  Xc is the characteristic value of  Xi, and  Bx  is  a normalized variable reflecting the
        uncertainty in Xi.
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