URI | http://purl.tuc.gr/dl/dias/672977B7-DD5E-42EE-84E0-41E4B1B124BA | - |
Identifier | https://doi.org/10.1002/pamm.200310525 | - |
Language | en | - |
Extent | 2 pages | en |
Title | Crack identification as an optimization task | en |
Creator | Stavroulakis Georgios | en |
Creator | Σταυρουλακης Γεωργιος | el |
Creator | Engelhardt, Markus, 1956- | en |
Creator | H. Antes | en |
Publisher | WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim | en |
Content Summary | In this paper, crack and hole identification problems are studied. From the knowledge about the reflected wave forms of an embedded crack, an identification may be performed by an evolutionary strategy or by a neural network. This approach corresponds to a generalization of the impact-echo nondestructive evaluation technique. The numerical solution of the two-dimensional elastodynamical problem, i.e., to determine the reflected waveforms, is performed by means of boundary element techniques. | en |
Type of Item | Peer-Reviewed Journal Publication | en |
Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-10-12 | - |
Date of Publication | 2003 | - |
Bibliographic Citation | M. Engelhardt, G.E. Stavroulakis, H. Antes ," Crack identification as an optimization task," PAMM ,vol. 3 ,no.1,pp. 511-512, 2003.doi:10.1002/pamm.200310525 | en |