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6.3  CONTINUUM MECHANICS                                            131


                 A whole range of approaches extract the main corner-stones of the behaviour of a
               component from measurements or simulations using finite elements and use this for
               simple models consisting of few equations, see for example Ansel et al. [11], Hof-
               mann et al. [149], [150], Karam et al. [179] and Nagel et al. [292]. In what follows
               three approaches will be considered that aim in the aforementioned direction.


               Table models

               The simplest case of experimental modelling is based upon a list of input and
               output values, thus arriving at a table model that only considers the static case. In
               this manner it is possible, for example, to draw up a table listing pressures and
               the associated capacitance values for the pressure elements described above. Such
               table models lead to characteristics with kinks that can considerably detract from
               the convergence of the simulator. This problem can be circumvented by using the
               present value pair as a support point for the characteristic, e.g. on the basis of
               splines, which typically removes the numerical problems. In this manner measured
               values can be very simply integrated into a simulation. More elaborate procedures
               estimate the structure of the equations and move themselves to the identification
               of the associated parameter.


               Identification of a harmonic oscillator

               In [11], Ansel et al. consider a seismic acceleration sensor as a harmonic oscillator.
               For the modelling a linear differential equation is used for the force f and the
               deflection x:
                                                                         n
                                               m
                                 df           d f           dx          d x
                          a 0 f + a 1  + ··· + a m  m  = b 0 x + b 1  + ··· + b n  n  (6.61)
                                  dt          dt            dt          dt
               For a spring-mass system, for example, m is set to 0 and n to 2. Here b 0 represents
               the spring constant, b 1 the viscous damping, and b 2 the seismic mass. For the system
               currently under consideration the parameters a i and b i are automatically obtained
               from the results of a simulation using finite elements. For this purpose the classical
               methods for system identification are used. This describes the mechanical section
               of the system. In addition, there is the conversion of mechanical deflection into
               capacitance based upon an interlacing comb structure. A table model is used for
               this, which is also determined on the basis of simulations using finite elements.


               General identification

               Hofmann et al. [149] and [150] propose a general procedure in order to put together
               the behaviour of a component from functional modules. The modelling is based
               upon a FE model, the behaviour of which is stored in a macromodel. Thus the
               complexity and nature of the underlying (partial) differential equations are not
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