Abstract
The procedures for updating structural analytical model from modal test data based on different approaches including the traditional Modal Sensitivity Method, Neural Networks method and Genetic Algorithm are described, respectively. Some aspects of structural model updating such as the problem of incomplete modal test data and robustness of model refinement, as well as the factors affecting the computational efficiency and solution convergence, are considered. Merits and defects of these proposed methods are discussed by comparison of numerical results of a real 5-story steel frame from limited modal test data.
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