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Chapter 23 Basics of Structural Reliability                           423

                 23.6.2  Turkstra’s Rule

                 The loading processes may be searched for some defined maximum in a systematic manner. A
                 procedure proposed by  Turkstra (1972) has  found its way into practice. It  is based  on  a
                 combination model for stationary random process. Its principle is that when one random load
                achieves its maximum value in time T, the transient values of other loads can be used to form
                the maximum load combination value. Assuming the random loads are represented by Si(t),
                the load combination is S(t), i.e.
                     ~(t) CSi (t)                                                   (23.28)
                         =
                           I
                Then, the maximum value of S(t) can be expressed as

                     s - max s(t) = max                                             (23.29)
                        - feT
                                                j=1
                Where, max  Si(t) is the maximum value of Si(t) in time T and S,(t) is the transient value of
                other random loads.
                It should be noted that different load combinations shall be performed for Eq. (23.29) to derive
                the maximum value.
                23.6.3  Ferry Borges-Castanheta Model

                Ferry  Borges-Castanheta (FBC)  model  (Ferry-Borges,  1971)  represents  each  individual
                stochastic process in the form of a series of rectangular pulses as shown in Figure 23.4 below.
                The value of  such a pulse represents the  intensity of the  load. The duration of the  pulse
                remains constant within the series. This time interval is chosen such that the pulses can be
                considered as independent repetitions of the respective actions.

                            Process 1






                            Process 2
                                                      I   r2





                            Process 3                           I  I
                               I






                            Figure 23.4  Illustration of FBC Model
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