The dynamic assessment of structural condition by measurement error-minimizing observability method
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Document typeConference report
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The structural identification using dynamic parameters (such as the natural vibration frequencies and mode shapes of the structure) is an important issue especially in slender structures such as long-span bridges or high-rise buildings. It is the most popular way to assess the structural condition along the service life . This article presents a new approach, under the framework of Structural System Identificaction by Observability Method (OM), to perform the structural system identification. The method is able of determining which actual structural properties (like Young’s modulus, area, inertia, mass) can be uniquely detected when an appropriate subset of mode-shapes and frequencies of the whole structure is provided. Error-Minimizing Observability Method (EMOM), which separates and merges the error items included in frequencies and mode shapes, is used to get an accurate estimate of element properties. A key issue in this method is how to choose the weight factor of frequencies and mode-shapes, when minimizing the objective function. This is still an unsolved problem and will pose a big influence on the results. Hence, a 2-dof example is illustrated in the paper dealing with this issue. . From the analysis of frequencies and mode-shapes with the best weight factor, it is found that through the fine calculation, the weight factor produced by the Bayesian method fits well with the one derived with the regular one-by-one calculation. This provides a criteria to choose the weight factor directly from the experimental samples by the Bayesian approach, thus decreasing the complexity and the computing time.
CitationPeng, T.; Casas, J.; Turmo, J. The dynamic assessment of structural condition by measurement error-minimizing observability method. A: International Symposium on Life-Cycle Civil Engineering. "Life-Cycle Civil Engineering: Innovation, Theory and Practice: Proceedings of the 7th International Symposium on Life-Cycle Civil Engineering (IALCCE 2020), October 27-30, 2020, Shanghai, China". CRC Press, 2020, p. 1381-1387. ISBN 9780367360191. DOI 10.1201/9780429343292-183.
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