Data Fusion of Multiple Curvature Mode Shapes for Structural Damage Diagnosis

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 u...

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Veröffentlicht in:Transactions of Nanjing University of Aeronautics & Astronautics 2015-06, Vol.32 (3), p.305-311
1. Verfasser: 曹茂森 张锥 沙刚刚
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description 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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ispartof Transactions of Nanjing University of Aeronautics & Astronautics, 2015-06, Vol.32 (3), p.305-311
issn 1005-1120
language eng
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source Alma/SFX Local Collection
subjects cracks
curvat
Curvature
damage
Damage detection
diagnosis
multiple
Flaw detection
Fracture mechanics
Laser beams
Mathematical analysis
Mathematical models
Shape recognition
structural
title Data Fusion of Multiple Curvature Mode Shapes for Structural Damage Diagnosis
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