eprintid: 578 rev_number: 6 eprint_status: archive userid: 5 dir: disk0/00/00/05/78 datestamp: 2011-03-25 lastmod: 2013-07-01 11:51:40 status_changed: 2013-07-01 11:51:40 type: techreport metadata_visibility: show item_issues_count: 0 creators_name: Caorsi, Salvatore creators_name: Massa, Andrea creators_name: Pastorino, Matteo title: A Crack Identification Microwave Procedure based on a Genetic Algorithm for Non-Destructive Testing ispublished: pub subjects: TU full_text_status: public keywords: Nondestructive Testing, Microwave Imaging, Genetic Algorithms abstract: This paper is aimed at exploring the possibility of using a microwave approach based on a genetic algorithm to detect a defect inside a known host object. Starting from the knowledge of the scattered field, the problem solution is recast as a two step procedure. After defining a cost function depending on the geometry of the defect on the crack detection and reconstruction is investigated. Moreover, the numerical effectiveness of the iterative approach is examinated. (c) 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. date: 2001-12 date_type: published institution: University of Trento department: informaticat refereed: TRUE referencetext: [1] R. Zoughi, "Recent advances in near-field microwave and millimeter wave nonde-structive testing and evaluation techniques" in Proc. AP2000, Davos, Switzerland,2000. [2] M. Bramanti and E. Salerno, "Electromagnetic techniques for nondestructive testingof dielectric materials: Diffraction tomography," Journal of Microwave Power, vol.27, no. 4, 1992. [3] N. Qaddoumi, S.I. Ganchev, G. Carriveau and R. Zoughi, "Microwave imaging ofthick Composites with defects," Materials Evaluation, vol. 53, no. 8, pp. 926-929,Aug. 1995. [4] K. Belkebir, C. Pichot, J. C. Bolomey, P. Berthaud, G. Cottard, X. Derobert, andG. Fauchoux, "Microwave tomography system for reinforced Concrete structures," inProc. 24th EuMC, vol. 2, pp. 1209-1214, 1994. [5] A. Joisel, J. Mallorquì, A. Broquetas, J. M. Geffrin, N. Joachimowicz, M. Vallilossera,L. Jofre, and J. C. Bolomey "Microwave imaging techniques for biomedical applica-tions," in Proc. IMTC'99, Venice, Italy, pp. 1591-1596, 1999. [6] A. Ishimaru, Electromagnetic Wave, Propagation, Radiation and Scattering. Prentice-Hall, 1991. [7] J. H. Richmond, "Scattering by a dielectric Cylinder of arbitrary Cross-section shape,"IEEE Trans. Antennas Propagat., vol. 13, pp. 334-341, 1965. [8] D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning,Addison-Wesley, Reading, Mass., 1989. [9] S. Caorsi, A. Massa, and M. Pastorino, "Genetic algorithms as applied to the Compu-tation of electromagnetic scattering by weakly nonlinear dielectric Cylinders," IEEETransactions on Antennas and Propagation, vol. 47, no. 9, pp. 1421-1428, 1999. [10] J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor : Univ. Michi-gan Press, 1975. [11] R. L. Haupt, "An introduction to genetic algorithms for electromagnetics," IEEEAntennas Propagat. Magazine, 37, 2, 7-15, 1995. [12] D. S. Weile and E. Michielssen, "Genetic algorithm optimization applied to electro-magnetics: a review," IEEE Trans. Antennas Propagat, vol. 45, pp. 343-353, March1997. [13] L. J. Eshelman and J. D. Schaffer, "Real-coded genetic algorithms and interval-schemata," in Foundations of Genetic Algorithms 2. S. Forrest, Ed. San Mateo, CA:Morgan Kaufmann, 1993, pp. 187-202. [14] C. Z. Janikow and Z. Michalewicz, "An experimental Comparison of binary and floating point representations in genetic algorithms," in Foundations of Genetic Algo-rithms 2. S. Forrest, Ed. San Mateo, CA: Morgan Kaufmann, 1993, pp. 31-36. [15] N. J. Radeliffe, "Equivalence Class analysis of genetic algorithms," Complex Systems,vol. 5, no. 2, pp. 183-206, 1991. [16] A. H. Wright, "Genetic algorithms for real parameter optimization," in Foundationsof Genetic Algorithms 2. S. Forrest, Ed. San Mateo, CA: Morgan Kaufmann, 1993,pp. 205-218. [17] D. B. Fogel, "An introduction to simulated evolutionary optimization", IEEE Trans.Neural Networks, NN-5, pp. 3-14, 1994. [18] D. E. Goldberg and K. Deb, "A Comparative analysis of selection schemes used ingenetic algorithms," Foundations of Genetic Algorithms, Morgan Kaufmann, 1991,pp. 69-93. [19] J. M. Johnson and Y. Rahmat-Samii, "Genetic algorithms in engineering electromag-netics," IEEE Trans. Antennas Propagat. Magaz., vol. 39, no.4, pp. 7-25, 1997. [20] S. Caorsi, A. Massa, and M. Pastorino, "Iterative numerical Computation of theelectromagnetic fields inside weakly nonlinear infinite dielectric Cylinders of arbitrarycross sections using the distorted-wave Born approximation", IEEE Transactions onMicrowave Theory and Techniques, vol. 44, no. 3, pp. 400-412, 1996. citation: Caorsi, Salvatore and Massa, Andrea and Pastorino, Matteo (2001) A Crack Identification Microwave Procedure based on a Genetic Algorithm for Non-Destructive Testing. [Technical Report] document_url: http://www.eledia.org/students-reports/578/1/DISI-11-010.pdf