Electromechanical Impedance-Based Structural Health Monitoring with Evolutionary Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @Article{Xu:2004:JAE,
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author = "Jianfeng Xu and Yaowen Yang and Chee Kiong Soh",
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title = "Electromechanical Impedance-Based Structural Health
Monitoring with Evolutionary Programming",
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journal = "Journal of Aerospace Engineering",
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year = "2004",
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volume = "17",
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number = "4",
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pages = "182--193",
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email = "cywyang@ntu.edu.sg",
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month = oct,
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publisher = "American Society of Civil Engineering",
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keywords = "genetic algorithms, genetic programming, evolutionary
programming, structural health monitoring, EM",
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DOI = "doi:10.1061/(ASCE)0893-1321(2004)17:4(182)",
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abstract = "An impedance-based structural health monitoring
technique is presented. By analyzing the in-plane
vibration of a thin lead zirconate titanate (PZT)
patch, the electromechanical impedance of the PZT patch
is predicted. The force impedances of a beam and a
plate with damage are calculated by Ritz method using
polynomial as shape functions. The damage is then
identified from the changes of the impedance spectra
caused by the appearance of damage. A hybrid
evolutionary programming is employed as a global search
technique to back-calculate the damage. A specially
designed fitness function is proposed, which is able to
effectively reduce the inaccuracy in representing the
real structure using analytical or numerical models.
Experiments are carried out on a beam and a plate to
verify the numerical predictions. The results
demonstrate that the proposed method is able to
effectively and reliably locate and quantify the damage
in the beam and the plate.",
- }
Genetic Programming entries for
Jianfeng Xu
Yaowen Yang
Chee Kiong Soh
Citations