Analysis of Structural System Dynamic Model Updating Method

Analysis of Structural System Dynamic Model Updating Method

Mao Shaoqing (Hebei Institute of Technology, Langfang, China)
DOI: 10.4018/ijapuc.2013070107
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Abstract

Model updating methods are successful in use of simulated data without noise, but inevitably lead to damaged uncorrelated noise levels and real experimental data, and it is often unpredictable. In this paper, the use of the frequency response function associated with re-analysis and updating of dynamic systems are proposed. Transformation matrix complexity and the normal frequency response function relationship between the structures are obtained. The transformation matrix is used to calculate the modified damping matrix of the system. The modified mass and stiffness matrices by using the least squares method is used to determine the frequency response function from the normal. A numerical example is tested to illustrate the applicability of the proposed method. The results show that this method is effective.
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2. Structural Reanalysis

Structure in the field or laboratory experiments with main purpose is to understand the given conditions of the actual behavior of innate characteristics or structure. Test results for various applications will also be one of the main goals. Work, which carries out a variety of structural analysis, based on the model obtained through experiments, often is referred to as structural re-analysis to obtain more exact behavior of the structure which is defined as a re-analysis of the structure. In a broader meaning, the structure analysis is used to accurately and then the resulting structure according to the load conditions is based on a load condition, or structural features of its own structure of the behavior of the observed behavior. Structure or structural features as modifying the behavior of innate value of about realistic system identification, as well as the structure of experimental methods have structural reanalysis also as structural dynamics modification.

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