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PIPES CONVEYING FLUID: NONLINEAR AND CHAOTIC DYNAMICS          365





















           6                                  6
                                              4
           4
                                              2
       .- -  2                              .-  0
        A
                                            5
       -                                    -
        x
                                            0
       3   0                                3 -2
                                              4
          -2
                                              4
          4                                   -8
           -0.15   -0.10  -0.05  0.00   0.05   0.10   0.15   -0.15  -0.10  -0.05   0.00   0.05   0.10   0.15
          (C)          Displacement           (d)          Displacement
      Figure 5.40  (a) Bifurcation diagram and (b-d)  some corresponding phase portraits for the N = 4
      model  and  the  trilinear, smoothed  'cubic'  representation of  the  constraints, with  all parameters
      corresponding to the experimental system of  Figure 5.30;  (b) u = 9.3,  (c) u = 9.57, (d) u = 9.6
                                (Pafdoussis & Semler 1993a).

      Figure 5.40; the pipe-tip displacements are now q(1, t) - 0(0.10), i.e. they are of similar
      magnitude as those in the experiments (contrast with those in Figure 5.35). Again excellent
      agreement is achieved for some of the key bifurcations, as seen in Table 5.4 (right side);
      moreover, the final 'restabilization'  or  'sticking',  where the pipe adheres to the support
      without further oscillation, is also predicted by theory. Up to this point it was supposed that
      the inability of the early, N = 2 model to converge, when the correct system parameters
      are used, was due to its low-dimensionality  - since the problem disappeared for N > 2.
      However, the real reason is the neglect of  the nonlinear terms in the equation of motion,
      which  is  also responsible for over-predicting the oscillation amplitudes (Paidoussis &
      Semler 1993a).
        The  series of  studies into  this  problem, starting with  PaYdoussis  & Moon's  (1988)
      and ending with Paidoussis & Semler (1993a), serve also as a case study into some of
      the pitfalls of  analytical modelling of  nonlinear systems when trying  to  match experi-
      mentally observed behaviour.  By  'straining'  two physical parameters (K  and  (b)  so as
      to circumvent numerical difficulties, the N = 2 model with a cubic-spring representation
      of  the constraints could give qualitatively similar behaviour to that observed, as well as
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