1 May 2003 Characterization of a single delamination using geometric moments and genetic algorithms
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The application of genetic algorithms for quantitative characterization of a single delamination in composite laminated panels is discussed. The damage identification procedure is formulated as an input-output inverse problem through which system parameters are identified. The input of the inverse problem, the normalized central moments (NCM), is calculated from the surface displacements of a finite element (FE) representation of a delaminated panel in a vacuum chamber. The output parameters, the planar location, diameter, and depth of the flaw, are the solution to the inverse problem to characterize the idealized circular debonding crack. The inverse problem is solved as an optimization procedure. The objective function of the optimization algorithm is defined as the squared difference of the NCM obtained from a FE model with an actual delamination and from a FE model with a trial debonding. The optimum crack parameters are found by minimizing the objective function through the use of a novel implementation of real-coded adaptive range genetic algorithms. Numerical examples are presented to show the effectiveness of the proposed identification procedure.
© (2003) Society of Photo-Optical Instrumentation Engineers (SPIE)
Alejandro Maranon, Alejandro Maranon, Andrew D. Nurse, Andrew D. Nurse, Jonathan Mark Huntley, Jonathan Mark Huntley, } "Characterization of a single delamination using geometric moments and genetic algorithms," Optical Engineering 42(5), (1 May 2003). https://doi.org/10.1117/1.1566779 . Submission:

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