Transactions of Nanjing University of Aeronautics & Astronautics
Data Fusion of Multiple Curvature Mode Shapes for Structural Damage Diagnosis
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Abstract:
This study aims to develop a reliable method for locating multiple cracks in a beam using data fusion of multiple curvature mode shapes. The identification of multiple damage in beams based on curvature mode shape has become a research focus in recent decades. However, the curvature mode shape method using a single mode carries limited damage information, and fails to reveal all cracks when multiple damage detection is required. To address this limitation, the curvature mode shape method is further enhanced by a data fusion algorithm to fuse damage information in multiple modes. The effectiveness of the method is proved through a numerical case of a beam with multiple cracks. The applicability of the method is experimentally validated by detecting multiple cracks in a composite laminated beam with mode shapes acquired by a scanning laser vibrometer. The results show that the method of fusing multiple curvature mode shapes carries more complete damage information than the traditional one using a single mode, and can successfully locate all cracks in a damaged beam.
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Project Supported:
the Key Program of the National Natural Science University (NCET-10-068); the Research the Key Program of the National Natural Science Foundation of China (No.11132003), the Qing Lan Project, and the Fundamental Research Funds for the entral Universities (Nos. 012B05814, 2014B03914).
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