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Investigations on a particle filter algorithm for crack identification in beams from vibration measurements
Published in John Wiley and Sons Ltd
Volume: 22
Issue: 8
Pages: 1049 - 1067
This study focuses on crack identification in beams from vibration measurements using principles of dynamic state estimation. The FEM is used to model the beam with cracked-beam elements that account for the presence of an edge crack under near-tip elasto-plastic conditions. The crack size and its location are treated as the variables that are identified using a particle filter algorithm. A parametric study is first carried out with synthetic measurements to numerically analyze the performance of the algorithm. Subsequently, using measurements acquired from physical experiments involving a cantilever beam subjected to arbitrary excitations, the proposed algorithm is used to identify the size and location of crack-like defects. The proposed method does not require measurements of the undamaged beam, hence, can be used for crack identification in beams for which no earlier measurements are available. Copyright © 2015 John Wiley & Sons, Ltd.
About the journal
JournalData powered by TypesetStructural Control and Health Monitoring
PublisherData powered by TypesetJohn Wiley and Sons Ltd
Open AccessNo
Concepts (11)
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    Monte carlo methods
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    State estimation
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    Vibration measurement
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    Health monitoring
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    Particle filter
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