Experience in Model Adjustment by Parameter Estimation Methodsby H. G. Natke, Univ Hannover, Germany,
Abstract: If the computational model is uncertain and if measured data of the system exist, system identification approaches lead to an improved computational model with known confidence. After a brief review of the adjustment methods, experience with these methods is presented. The experience concerns an airplane using measured eigenfrequencies for updating the model flexibility matrix, an offshore platform, also using eigenfrequencies, however, for adjustment of the inertia matrix. The third application reported is the estimation of the foundation model of a radar tower. Finally, the estimation of input and damping quantities is reported, the estimate of the aerodynamic admittance function of a tv-tower is the result.
Subject Headings: Mathematical models | Computer models | Data processing | Structural models | Matrix (mathematics) | Parameters (statistics) | Dynamic structural analysis
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