Electromechanical Impedance-Based Structural Health Monitoring with Evolutionary Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Xu:2004:JAE,
  author =       "Jianfeng Xu and Yaowen Yang and Chee Kiong Soh",
  title =        "Electromechanical Impedance-Based Structural Health
                 Monitoring with Evolutionary Programming",
  journal =      "Journal of Aerospace Engineering",
  year =         "2004",
  volume =       "17",
  number =       "4",
  pages =        "182--193",
  email =        "cywyang@ntu.edu.sg",
  month =        oct,
  publisher =    "American Society of Civil Engineering",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 programming, structural health monitoring, EM",
  DOI =          "doi:10.1061/(ASCE)0893-1321(2004)17:4(182)",
  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