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A platform for research: civil engineering, architecture and urbanism
IMPROVED CROSS-MODEL MODAL STRAIN ENERGY METHOD FOR STRUCTURAL DAMAGE LOCALIZATION
In order to improve the accuracy of structural damage localization, a method to locate structural damages is proposed by combining the cross-model modal strain energy and the wavelet analysis(WA). Firstly, indices based on cross-modelmodal strain energy of all elements have been calculated. Secondly, the wavelet analysis is conducted on the sequence composed of the calculated indices of all elements, with high-frequency detail coefficients extracted to form the improved damage index. Finally, damage locations are judged according to the improved index. A planar truss is taken as the numerical example, with the Monte Carlo analysis carried out in consideration of 5% noise level. The result shows that the improved index is more robust to resist noise interference and can better indicate damage locations.
IMPROVED CROSS-MODEL MODAL STRAIN ENERGY METHOD FOR STRUCTURAL DAMAGE LOCALIZATION
In order to improve the accuracy of structural damage localization, a method to locate structural damages is proposed by combining the cross-model modal strain energy and the wavelet analysis(WA). Firstly, indices based on cross-modelmodal strain energy of all elements have been calculated. Secondly, the wavelet analysis is conducted on the sequence composed of the calculated indices of all elements, with high-frequency detail coefficients extracted to form the improved damage index. Finally, damage locations are judged according to the improved index. A planar truss is taken as the numerical example, with the Monte Carlo analysis carried out in consideration of 5% noise level. The result shows that the improved index is more robust to resist noise interference and can better indicate damage locations.
IMPROVED CROSS-MODEL MODAL STRAIN ENERGY METHOD FOR STRUCTURAL DAMAGE LOCALIZATION
ZHANG YaRu (author) / MA Jun (author) / WU XiaoShun (author)
2024
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
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