| 13th International Conference on Motion and Vibration Control; 12th International Conference on Recent Advances in Structural Dynamics | |
| Damage Identification Dependence on Number of Vibration Modes Using Mode Shape Curvature Squares | |
| Janeliukstis, R.^1 ; Rucevskis, S.^1 ; Wesolowski, M.^2 ; Chate, A.^1 | |
| Institute of Materials and Structures, Riga Technical University, Riga, Latvia^1 | |
| Department of Structural Mechanics, Faculty of Civil Engineering, Environment and Geodetic Sciences, Koszalin University of Technology, Koszalin, Poland^2 | |
| 关键词: Approximation function; Damage Identification; Damage identification algorithms; Damaged structures; Finite element simulations; Mode shape curvatures; Scanning laser vibrometers; Vibration mode shapes; | |
| Others : https://iopscience.iop.org/article/10.1088/1742-6596/744/1/012054/pdf DOI : 10.1088/1742-6596/744/1/012054 |
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| 来源: IOP | |
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【 摘 要 】
In this paper a damage identification algorithm for multiple damage sites based on mode shape curvature square method of vibration mode shapes in aluminium beam is reported. The required mode shape curvature of a healthy structure was obtained via interpolation of mode shape curvature of a damaged structure with Fourier series functions of different orders. Algorithm employed calculations of standardized damage index distributions over beam coordinate. Finite element simulations of proposed methodology involving various artificial noise levels and reduction of mode shape input data points were validated on the damage identification results of experimentally measured mode shapes which were measured using scanning laser vibrometer. Results show that the algorithm is capable of capturing the areas of damage. The term called damage estimate reliability was introduced in terms of likelihood of the chosen approximation function to capture the location of damage.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Damage Identification Dependence on Number of Vibration Modes Using Mode Shape Curvature Squares | 1527KB |
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