Page 259 - Thomson, William Tyrrell-Theory of Vibration with Applications-Taylor _ Francis (2010)
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246                                    Computational Methods   Chap. 8

                             Matrix Iteration Program

                                 Problem  1

                             Matrix  [M]
                                 0.4000E+01   O.OOOOE+00   O.OOOOE+00
                                 O.OOOOE+00   0 .2000E+01   O.OOOOE+00
                                 O.OOOOE+00   O.OOOOE+00  O.lOOOE+01
                             Matrix  [K]
                                 0.4000E+01  -O.lOOOE+01   0.OOOOE+00
                                -O.lOOOE+01   0 .2000E+01   -O.lOOOE+01
                                 O.OOOOE+00  -O.lOOOE+01  O.lOOOE+01
                             Mode:  1
                               Eigenvalue is  :  0.4775E+01
                               Eigenvector  is:  0.2500E+00
                                              0.7906E+00
                                              O.lOOOE+01
                             Mode:  2
                               Eigenvalue is  :  O.lOOOE+01
                               Eigenvector  is:  -0.lOOOE+01
                                              -0.1490E-06
                                              O.lOOOE+01
                             Mode:  3
                               Eigenvalue  is  :  0.5585E+00
                               Eigenvector  is:  0.2500E+00
                                              -0.7906E+00
                                              O.lOOOE+01             Figure 8.5-1.

                       8.6  THE DYNAMIC MATRIX

                              The matrix equation for the normal mode vibration  is generally written  as
                                                       [-AM + K ]X =  0                  (8.6-1)

                              where  M  and  K  are  both  square  symmetric  matrices,  and  A is  the  eigenvalue

                              related to the natural frequency by A =   Premultiplying the preceding equation
                              by M~^ we have  another form of the  equation;
                                                        [ ~ \ I  + A ]X  =  0            (8.6-2)
                              where  A  = M~^K  and  is  called  the  dynamic  matrix.  In  general,  M~^K  is  not
                              symmetric.
                                  If next we premultiply Eq. (8.6-1) by  K~\ we obtain

                                                         A  -  k l \ X =   0              (8.6-3)

                              where  A  = K  W   is  the  dynamic  matrix,  and  A =  1 /(d^  =  1/A  is  the  eigenvalue
                              for the equation.
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