Damage detection methodology in metallic structure by experimental modal analysis techniques and PSO
Published 2017-05-30
Keywords
- Modal analysis,
- optimization algorithm,
- dynamic characterization,
- vibration based damage identification techniques (VBDIT),
- finite element method
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Abstract
With the objective of improving the production systems reliability the companies have developed methodologies to detect incipient damages. The metallic structures are usually checked by visual inspection procedure which is not be able to detect emerging falls. The purpose of the present work is to develop a novel methodology based on modal testing analysis and particle swarm optimization algorithm to detect falls in these structures. A physical model was built and it was studied applying the modal testing techniques. A numerical model was stablished by Finite Element Method (MEF). The algorithm was executed, and the results were compared with the experimental results. The methodology was validated and falls were identified for different levels damages.
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References
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