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Indian Journal of Engineering and Materials Sciences (IJEMS) >
IJEMS Vol.11 [2004] >
IJEMS Vol.11(5) [October 2004] >
| Title: | Damage assessment of structures from changes in curvature damage factor using artificial neural network |
| Authors: | Tripathy, Rashmi Ranjan
Maity, Damodar |
| Issue Date: | Oct-2004 |
| Publisher: | CSIR |
| IPC Code: | Int. Cl.7 G 06 N 3/06 |
| Abstract: | This paper presents a neural network based approach to detect
and assess the structural damage. The basic strategy applied in this study is
to train a neural network to recognize the behaviour of the undamaged structure
as well as the structure with various possible damaged states. Curvature damage
factor (CDF) is used as a possible candidate for the damage identification by
error back-propagation training algorithm (EBPTA). When this trained network is
subjected to the measured response, it should be able to detect any existing
damage. This idea is applied on a cantilever beam and a plane frame. The
results show the efficiency of the developed algorithm. |
| Page(s): | 369-377 |
| ISSN: | 0975-1017 (Online); 0971-4588 (Print) |
| Source: | IJEMS Vol.11(5) [October 2004]
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