Impact damage detection in carbon fibre composites using HTS SQUIDs and neural networks

NDT and E International

Volumn 37, Issue 7, 2004, Pages 565-570

  Graham, D ^a   Maas, P ^a   Donaldson, G B ^a   Carr, C ^b  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Composite laminates; Eddy current; Neural network

Indexed keywords

CARBON; EDDY CURRENTS; ENVIRONMENTAL IMPACT; IMPACT TESTING; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; PATTERN RECOGNITION; SCANNING; SQUIDS;

CARBON FIBER COMPOSITES; COMPOSITE LAMINATES; FEATURE EXTRACTION METHODS; IMPACT DAMAGE DETECTION;

COMPOSITE MATERIALS;

EID: 2942683380     PISSN: 09638695     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ndteint.2004.03.001     Document Type: Article

References (19)

1. Babbot R. Composites in general aviation in comprehensive composite materials. 2000;Elsevier, Amsterdam.
2. Chan W.S. Fracture and damage mechanics in laminated composites. Mallick P.K. Composites engineering handbook. 1997;Marcel Dekker, New York.
3. Jenks W.G., Sadegi S.S.H., Wikswo J.P. Jr. SQUIDs for nondestructive evaluation. J Phys D: Appl Phys. 30:1997;293-323.
4. Carr C., McKirdy D.M.A., Romans E.J., Donaldson G.B., Cochran A. Electromagnetic nondestructive evaluation: moving HTS SQUIDs, inducing field nulling and dual frequency measurements. IEEE Trans Appl Supercond. 5:1997;3275-3278.
5. Braginski A.I., Krause H.-J. Nondestructive evaluation using high-temperature SQUIDs. Physica C. 335:2000;179-183.
6. Carr C., Graham D., Macfarlane J.C., Donaldson G.B. SQUID-based nondestructive evaluation of carbon fibre reinforced polymer. IEEE Trans Appl Supercond. 13:2003;196-199.
7. c superconducting quantum interference device. Jpn J Appl Phys. 39:2000;1399-1404.
8. Ruosi A., Valentino M., Lopresto V., Caprino G. Magnetic response of damaged carbon fibre reinforced plastics measured by a HTS-SQUID magnetometer. Compos Struct. 56:2002;141-149.
9. Hatsukade Y., Kasai N., Kurosawa M., Kawai R., Takashima H., Kojima F., Ishiyama A. Detection of internal cracks and elamination in carbon-fiber- reinforced plastics using SQUID-NDI system. Physica C. 373:2002;267-270.
10. Staszewski W.J. Intelligent signal processing for damage detection in composite materials. Compos Sci Technol. 62:2002;941-950.
11. Khandetsky V., Anonyuk I. Signal processing in defect detection using back propagation neural networks. NDT&E Int. 35:2002;483-488.
12. Harrouche K., Rouvaen J.M., Ouftouh M., Ourak M., Haine F. Signal-processing methods for analysing the structure of carbon-epoxy-resin composite materials. Meas Sci Technol. 11:2000;285-290.
13. Hall Barbosa C., Bruno A.C., Vellasco M., Pacheco M.A., Camerini C.S. Nondestructive evaluation of steel structures using a superconducting quantum interference device magnetometer and a neural network system. Rev Sci Instrum. 71:2002;3806-3815.
14. Kreutzbruck M., Allweins K., Ruhl T., Muck M., Heiden C., Krause H.J., Hohmann R. Defect detection and classification using a SQUID based multiple frequency eddy current NDE system. IEEE Trans Appl Supercond. 11:2002;1032-1037.
15. Pham D.T., Liu X. Neural networks for identification, prediction and control. 1995;Springer, Berlin.
16. Bishop C.M. Neural networks for pattern recognition. 1995;Clarendon Press, Oxford.
17. Zaremba T. Technology in search of a buck. Eberhart R.C., Dobbins R.W. Neural network PC tools. 1990;Academic Press, London.
18. c single-layer gradiometers: parasitic effective area compensation and system balance. IEEE Trans Appl Supercond. 11:2001;1267-1370.
19. Mall S. Mallick P.K. Composites engineering handbook. 1997;1997 Marcel Dekker, New York.