An integrated evolutionary programming and impedance-based NDE method

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@InProceedings{YaowenYang:2004:SPIE,
  author =       "Yaowen Yang and Chee Kiong Soh and Jianfeng Xu",
  title =        "An integrated evolutionary programming and
                 impedance-based NDE method",
  booktitle =    "Smart Structures, Devices and Systems II, Smart
                 Structures, Devices and Systems II, Proc. of SPIE",
  year =         "2004",
  editor =       "Said F. Al-Sarawi",
  volume =       "5649",
  pages =        "154--161",
  address =      "Sydney, Australia",
  month =        "13 " # dec,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-8194-5609-8",
  URL =          "http://spiedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PSISDG005649000001000154000001&idtype=cvips&gifs=Yes&bproc=volrange&scode=5600%20-%205699",
  DOI =          "doi:10.1117/12.581489",
  abstract =     "Nondestructive evaluation (NDE) is essential in civil
                 and building engineering. Impedance-based method uses
                 the electro-mechanical coupling effect of piezoceramic
                 lead-zirconate-titanate (PZT) materials to measure the
                 force impedance of the structure. By comparing the
                 impedance spectra of the damaged structure with the
                 baseline (the impedance spectra for the pristine
                 structure), the damage in the structure can be
                 assessed. The impedance-based method has shown some
                 advantages over the traditional NDE methods. However,
                 it is not able to identify the location and quantity of
                 the damage simultaneously. This paper presents a
                 technique to overcome this limitation. The technique
                 first measures the variations of the electro-mechanical
                 impedance of the structure, which is similar to the
                 impedance-based method, so that it can inherit the
                 advantage of convenience in operation from the
                 impedance-based method. The damage is then identified
                 by a system identification technique which is generally
                 employed in the vibration-based method. Due to the
                 numerous local optima in the search space, the
                 traditional optimisation strategies may not be able to
                 find the correct solution. This paper selects
                 evolutionary programming (EP) as the system
                 identification technique for its robustness in finding
                 the global optimum. Thus, the location and the quantity
                 of the damage can be simultaneously identified. In
                 order to enhance the feasibility of the integrated EP
                 and impedance-based (inEPIB) technique, a fitness
                 function, which can be generally applied to other
                 methods, is proposed to discriminate the variations
                 caused by damages from the discrepancies caused by
                 modelling errors. Experiments are carried out on beams
                 and plates to verify the damage detection results. The
                 results demonstrate that both the location and extent
                 of damage can be simultaneously identified.",
}

Genetic Programming entries for Yaowen Yang Chee Kiong Soh Jianfeng Xu

Citations