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Material characterization of composite laminates using dynamic response and real parameter-coded microgenetic algorithm
Authors:G. R. Liu  H. J. Ma  Y. C. Wang
Affiliation:(1) Department of Mechanical Engineering, Centre for Advanced Computations in Engineering Science, National University of Singapore, Singapore, 119260, Singapore;(2) Computer Centre, National University of Singapore, Singapore, 119260, Singapore;(3) Building Drafting Department, Institute of Technical Education, Singapore, 468981, Singapore
Abstract:An efficient nondestructive evaluation procedure is proposed for inversely determining material constants of composite laminates using dynamic response at one point on the plate surface. Material constants of composite laminates are determined by minimizing the difference between the measured dynamic response of the actual plate and the computed response of the plate with assumed material properties. For robust and efficient function minimization, a real parameter-coded microgenetic algorithm (real-mgrGA) is proposed on the basis of the existing binary coded uniform microgenetic algorithm (uniform mgrGA). Four different crossover operators are constructed for the real-mgrGA. Performances of the present real-mgrGA and the existing uniform mgrGA are studied using several typical benchmark test functions and an order-3 deceptive function. The present real-mgrGA is then implemented as the inverse solver in the minimization process of material characterization. From hundreds of tests conducted on the benchmark functions, the order-3 deceptive function, and the material characterization problems, it is found that the real-mgrGA is two to five times faster in converging to the global optimum compared with the uniform mgrGA. Numerical examples for material characterization of composite laminates have demonstrated the robustness, efficiency, and accuracy of the proposed procedure.
Keywords:Nondestructive evaluation  Inverse problem  Material characterization  Composite laminate  Real parameter-coded microgenetic algorithm  Dynamic
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