Structural damage detection and identification using neural networks

Structural damage detection and identification using neural networks

A novel methodology for on-line damage identification of discrete structural systems is presented. The damage characteristic of the system can be detected and identified from the change of its dynamic properties through a backward-propagation neural network.

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Veröffentlicht in:AIAA journal 1994-01, Vol.32 (1), p.176-183
Hauptverfasser: Tsou, Poyu, Shen, M.-H. Herman
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Computer programming
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Measurement and testing methods
Measurement methods and techniques in continuum mechanics of solids
Mechanical engineering
Physics
Solid mechanics
Structural and continuum mechanics
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Beschreibung
Zusammenfassung:A novel methodology for on-line damage identification of discrete structural systems is presented. The damage characteristic of the system can be detected and identified from the change of its dynamic properties through a backward-propagation neural network.
ISSN:0001-1452
1533-385X
DOI:10.2514/3.11964