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CONCEPTS, DEFINITIONS AND METHODS                   51

               2.3  LINEAR AND NONLINEAR DYNAMICS

               Consider  a  one-degree-of-freedom linear  system  subjected to  fluid  loading,  F(t); the
               equation of  motion is written as

                                          mi + cx + kx = F(t),                    (2.158)

               and F(t) may be expressed as
                                         F(t) = -m’x  - c’x - k’x,                (2.159)

               in which m’  is the added or virtual mass of the fluid associated with acceleration of the
               body, c’ is the fluid damping term associated with the velocity of  the body, and k’  is the
               fluid added stiffness, as discussed in Section 2.2.l(g). Hence, the equation of motion may
               be written as
                                   (m + m’)i + (c + c’)x + (k + k’)x = 0.         (2.160)

                 It is noted that  the form of equation (2.159) implies that there is no external forcing
               of  the  system:  all  fluid loading is  associated with  motion. In  general, the  coefficients
               associated  with  the  linearized forces  in  (2.159) are  not  constant, but  depend  on  flow
               velocity, amplitude and frequency of motion, fluid viscosity, and so on. For the purpose
               of this introduction, however, let us neglect most of  these effects and take m’  = const.,
               c’ = c’(U), k’  = k’(U), where U  is a characteristic flow velocity in  the  system. Hence,
               equation (2.160) may be written as
                                     x + 2<(U)L?,, (U)i + L?;(u)x = 0,            (2.161)

               where, as denoted, the damping factor, <, and the natural frequency, L?,, , are functions of
               U, which is the only variable parameter of this system.
                 If  c’(U) > 0 and k’(U) > 0 for  all  U, then  the  response of  the  fluid-loaded system
               is  qualitatively  the  same  as  that  of  the  mechanical  system: only  damped  oscillations
               would be observed, with higher or lower frequency, depending on whether added mass or
               fluid stiffness effects predominate [Le. whether (k + k’)/(m + m’) > or < k/m], and with
              higher or lower damping (<), depending on whether (c + c’)/(m + m’) > or < c/m.
                 If,  however, k’(U) can become negative, and  Ik’(U)l = k  for some critical  value of
               U, U,,  then the overall stiffness of  the system vanishes - and for U  > U, may become
               negative - which signifies that the system is then statically unstable. The premier example
              of this (albeit for a system with more than one degree of freedom) is the static instability, or
              divergence, of an articulated or continuously flexible pipe with supported ends conveying
               fluid (see Chapter 3); it is similar to the divergence, or buckling, of a column subjected
              to  an end  load. At  that  point, Le.  when  Ik’(Cr)l = k, x  becomes indeterminate: i.e.  the
               static equilibrium position xSt = 0 is replaced by a condition where an infinite set of static
              equilibria are possible (Ziegler 1968) according to linear theory.
                Similarly, if <(U,) < 0 [Le. if c’(U,) < 0 and sufficiently large], this implies a negative
              damping: instead of the oscillations dying out with time, they are amplified exponentially.
              A good example of this is the oscillatory instability (in the linear sense), orjutter, of  a
              cantilevered pipe conveying fluid (see Chapter 3).
                Mathematically, the evolution of a system towards divergence or flutter may be tracked
              by plotting the complex eigenvalues or, equivalently, the eigenfrequencies in the complex
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