Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/FD344BBC-B9D0-4780-8C62-8F2FB557F201 | - |
| Γλώσσα | en | - |
| Μέγεθος | 20 pages | en |
| Τίτλος | Neural network assisted crack and flaw identification in transient dynamics | en |
| Δημιουργός | Stavroulakis Georgios | en |
| Δημιουργός | Σταυρουλακης Γεωργιος | el |
| Δημιουργός | Engelhardt, Markus, 1956- | en |
| Δημιουργός | Gallegos, Rómulo, 1884-1969 | en |
| Δημιουργός | Likas, A | en |
| Δημιουργός | antes horst | en |
| Περίληψη | Crack and flaw identification problems in two-dimensional elastomechanics are numerically studied in this paper. The mechanical modelling is based on boundary element techiques, with special care of hypersingular issues for the cracks. The possibility of partially or totally closed cracks (unilateral contact effects) is taken into account by linear complementarity techniques. Backpropagation neural networks are used for the solution of the inverse problems. For dynamical problems, a suitable preprocessing of the input data enhances the effectiveness of the procedure. For the two-dimensional examples presented here, the proposed method has similar performance for classical crack and flaw identification problems. The identification of unilateral cracks is a considerably more difficult task, which nevertheless, can also be solved by the same method, provided that a suitable dynamical test loading is applied. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-12 | - |
| Ημερομηνία Δημοσίευσης | 2004 | - |
| Θεματική Κατηγορία | Applied mechanics | en |
| Θεματική Κατηγορία | Engineering, Mechanical | en |
| Θεματική Κατηγορία | mechanics applied | en |
| Θεματική Κατηγορία | applied mechanics | en |
| Θεματική Κατηγορία | engineering mechanical | en |
| Βιβλιογραφική Αναφορά | G.E. Stavroulakis, M. Engelhardt, A. Likas, R. Gallego, H. Antes ,"Neural network assisted crack and flaw identification in transient dynamics ," J. of Theor. and Ap. Mech.,vol. 42, no.3 pp.629-649.2004. | en |
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