|
| Application of the combined neural network in structural damage detection |
| Revised:April 28, 2003 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20052050 |
| KeyWord:Component Mode Synthesis (CMS),combined neural network,damage detection,substructure |
|
|
| Hits: 1539 |
| Download times: 8 |
| Abstract: |
| Comparing with the entire structure system, the dynamic property of the substructure is more sensitive to the structural damage. The combined neural network may overcome the limitation of the single neural network in simulation and identification performances, and has the advantage of implementing more comprehensive function. The author first used the bi-compatible free-interface component mode synthesis (CMS) method to do modal analysis. After obtaining the modal data of each substructure and the entire structure, the frequency change rates of the damaged substructure were used together with that of the entire structure system to participate in the designing of combined BP neural network system for damage detection. This scheme can effectively increase the detection precision and improve the network performance. In the end, numerical examples demonstrate the feasibility and effectiveness of the method. |
|
|
|