A Combined Genetic and Eigensensitivity Algorithm for the Location of Damage in Structures

MI Friswell (University of Wales Swansea), JET Penny & SD Garvey (Aston University)

Computers and Structures, Vol. 69, No. 5, September 1998, pp. 547-556


Genetic algorithms have been the subject of considerable interest in recent years, since they appear to provide a robust search procedure for solving difficult problems. Due to the way the genetic algorithm explores the region of interest it avoids getting stuck at a particular local minimum and locates the global optimum. The genetic algorithm is slow in execution and is best applied to difficult problems. This paper applies a genetic algorithm to the problem of damage detection using vibration data. The objective is to identify the position of one or more damage sites in a structure, and to estimate the extent of the damage at these sites. The genetic algorithm is used to optimise the discrete damage location variables. For a given damage location site or sites a standard eigensensitivity method is used to optimise the damage extent. This two level approach incorporates the advantages of both the genetic algorithm and the eigensensitivity methods. The method is demonstrated on a simulated beam example and an experimental plate example.

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This material has been published in the Computers and Structures, Vol. 69, No. 5, September 1998, pp. 547-556, the only definitive repository of the content that has been certified and accepted after peer review. Copyright and all rights therein are retained by Elsevier.

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Link to paper using doi:10.1016/S0045-7949(98)00125-4

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