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.

Bibliographische Detailangaben

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
Online-Zugang:	Volltext
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