Page 28 - Fluid-Structure Interactions Slender Structure and Axial Flow (Volume 1)
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CONCEPTS, DEFINITIONS AND METHODS                    11

               eigenvectors making up [A]. Hence, the coordinate transformation

                                               (41 = [Al(Yl                         (2.12)
               is introduced, in which yi, i = 1, . . . , N, are the normal  or principal coordinates. Substi-
               tuting (2.12) into (2.4), and pre-multiplying by  [AIT leads to
                                      [PIIYI + [SIIy) = [AITIQl = (FI,              (2.13)

               in which
                                   [PI = [AITW1[Al1    [SI = [AITIKl[Al             (2.14)

               are diagonal, in view of the relations (2.10).
                 The system (2.13) has therefore been decoupled. Each row reads p;y; + s;  y;  = F, (t),
               which  is  easily  solvable,  subject  to  the  initial  conditions  (y(0)J = [A]-'  {q(O)]  and
               (y(0)) = [A]-'{q(O)).  The  response  in  terms  of  the  original  coordinates  may  then  be
               obtained by  application of  (2.12).
                 In case of repeated eigenvalues, or if  [MI or [K] are not symmetric but the eigenvalues
               are still  real, provided that linearly independent eigenvectors may  be  found,'  one may
               proceed as follows: (i) equation (2.4) is pre-multiplied by  [MI-',  (ii) transformation (2.12)
               is  introduced,  and  (iii) the  equation  is  decoupled by  pre-multiplication by  [AI-';  this
               leads to
                                       IY} + [AIIYI = [Al-'[~l-'(Ql~               (2.15)
               where [A]-'[W][A]  = [A]  has been utilized, and [A]  is the diagonal matrix of  the eigen-
               values.
                 If  damping  is  present,  then  the  full  form  of  equation (2.1)  applies - provided,  of
               course, that the damping is viscous or that it may be approximated as such. In  this case,
               eigenvalues and eigenvectors are no  longer real. The procedure that  follows applies to
               cases where [MI, [K] and [C] are symmetric - the latter being so if  [C] is derived from
               a dissipation function, for instance (Bishop & Johnson 1960). The following partitioned
               matrices and vectors of  order 2N are defined:




               and equation (2.1) may now be reduced into the first-order form

                                           [Bl(iJ + [El(z) = (@I.                  (2.17)
               The procedure henceforth parallels that of the conservative system. Assuming solutions of
               the form {z] = (A} exp(At)   (A} exp(iQr), the reduced equation (2.17) eventually leads
               to the eigenvalue problem
                                                                                   (2.18)
                                           (Nil - [YI)(Al = to19
               where  [Y]  = -[B]-'[E].   The  eigenvalues, A;,  and  eigenvectors  (A];, i = 1,2,. . . ,2N,
               may now be determined. The A;  occur in complex conjugate pairs,'  and the eigenvectors

                 'Hence,  in principle and if desired, a set of orthogonal eigenvectors may be determined via the Gram-Schmidt
               procedure.
                 'Note  that, even for a conservative  mass-spring  one-degree-of-freedom  system, one obtains  R = fm,
               where the negative  value is usually ignored (see Section  2.3); here f2i   A, so A1.2  = Oi f (k/ni)''*.
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