Page 27 - Dynamic Loading and Design of Structures
P. 27

Page 14






























               Figure 1.3 General time-dependent reliability problem (Melchers, 1999).

               an improvement of the resistance or change in use might be such that the loading decreases
               after a certain point in time but, more often than not, the unfavourable situation depicted in
               the diagram is likely to occur.
                 Thus, the elementary reliability problem described through eqns (1.5) and (1.6) may now
               be formulated as



                                                                                                   (1.17)



               where g(X(t))=M (t) is a time-dependent safety margin, and



                                                                                                   (1.18)


               is the instantaneous failure probability at time t, assuming that the structure was safe at time
               less than t.
                 In time-dependent reliability problems, interest often lies in estimating the probability of
               failure over a time interval, say from 0 to tL. This could be obtained by integrating Pf(t) over
               the interval [0, t ], bearing in mind the correlation characteristics in time of the process X(t)—
                              L
               or, sometimes more conveniently, the process R(t), the process S(t), as well as any cross
               correlation between R(t) and S(t). Note that the load effect process S(t) is often composed of
               additive components, S 1(t), S2(t),…, for each of which the time fluctuations may have
               different features (e.g. continuous variation, pulse-type variation, spikes).
                 Interest may also lie in predicting when S(t) crosses R(t) for the first time, see Figure 1.4,
               or the probability that such an event would occur within a specified time interval. These
               considerations give rise to so-called ‘crossing’ problems, which are treated using stochastic
               process theory. A key concept for such
   22   23   24   25   26   27   28   29   30   31   32