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        Figure 3a: Statistical Distribution of Positive   Figure 3b: Statistical Distribution of Extreme Peak
      Peak Values for the Elastoplastic Beam Model   Values for the Elastoplastic Beam Model
      The statistical distribution of positive peak values has a large deviation from the equivalent Rayleigh
      distribution. Similarly, the statistical distribution of extreme peak values can no longer be described by
      an equivalent Gumbel distribution (see Figure 3b). A common feature can be observed from Figures 3a
      and 3b. In both the lower and the upper tail regions of these CDF curves, the CDF obtained from the
      simulated response  data  is  larger  than  the  one predicted  from  the  corresponding analytical  model,
      which  is valid  for a linear dynamic system subjected to a Gaussian process.  Since the  small failure
      probability of a structural system is governed by the tail CDF curve of the critical response parameter,
      we can conclude that the use of these analytical peak distributions for a nonlinear system will result in
      a conservative assessment of failure probability.
      OVERVIEW OF PULSTR


     ~ ..............................................................................................  ......................................................
                                           ~ ...........................
      Probabilistic                       Interface   ~  .  :  .
      Framework                          r control  ;  ;  i
                                           I program
                  definition               ...........................   i   1   ULTSTR
       control  I  iMCS  I   .....................   forULTSTR  i
                                                         (ultstr.exe)
                                           Statistical Input
                            routines
                                                     ~
                                           (sfafinpdat)
                                                         ULTSTR.OUT
                  ................
                            ...................
                  ...............
                            _  ....................
                  % _ ................,   lULlMlT   f  :   Nominal Input   -   ( ULTSTR output)
                            L
                                                     ;
                1 : ;FORM  f   iUCPDF                ;   ULTSTR.PLT
                  : ........... .....-
                            ,
                            i ....................  I (ultsfrU.inp)
                  :SEAS""'i
                                                         (momentlcurvature
                                                     ;
                                           Input Update
                  ................... Ill
                                           forULTSTR   1 output)
                                         1 (ulfstr.inp)
                                        ...........................................................
                             Figure 4: Block Diagram of PULSTR
      PULSTR is a probabilistic version of the ULTSTR (ULTimate STRength) program. PULSTR allows
      designers to perform probabilistic analysis and design of a hull-girder under longitudinal bending. It is
      built on a macro command architecture which  integrates a probabilistic  analysis framework with the
      deterministic  solver  -ULTSTR-  developed  by  Adamchak  (1982).  As  shown  in  Fig.  4,  PULSTR
      consists  of  three  separate  modules:  1)  probabilistic  analysis  module;  2)  interface  module;  and  3)
      ULTSTR response analysis module. To perform the probabilistic assessment of a hull girder, PULSTR
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