Parametric modal identification of time-varying structures and the validation approach of modal parameters
| Autor: | Paul Sas, Ward Heylen, Li Liu, Si-Da Zhou |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Mathematical optimization
Fuzzy clustering Mechanical Engineering Modal analysis using FEM Modal testing Aerospace Engineering Computer Science Applications Modal Discrete time and continuous time Control and Systems Engineering Normal mode Signal Processing Cluster analysis Algorithm Civil and Structural Engineering Parametric statistics Mathematics |
| Zdroj: | Mechanical Systems and Signal Processing. 47:94-119 |
| ISSN: | 0888-3270 |
| DOI: | 10.1016/j.ymssp.2013.07.021 |
| Popis: | This paper investigates the problem of output-only modal parameter estimation of time-varying structures. A two-stage least square method for modal parameter estimation of time-varying structures is presented, consisting of a least square complex frequency-domain stage for the modal parameter estimation of all discrete time samples and a weighted least square stage for the estimation of continuous-time-represented modal parameters. This paper introduces a fuzzy-clustering-based approach for validating and sifting the modal parameters and develops four modal assurance criterion-based distance functions to improve the quality of clustering of operational mode shapes. Furthermore, the proposed method has been validated by a simulation example and a laboratory experiment. |
| Databáze: | OpenAIRE |
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