The application of artificial neural networks in the
identification of damage in beams – numerical and experimental studies
cytuj
pobierz pliki
RIS BIB ENDNOTEChoose format
RIS BIB ENDNOTE
The application of artificial neural networks in the
identification of damage in beams – numerical and experimental studies
Publication date: 2012
Technical Transactions, 2012, Mechanics Issue 8-M (22) 2012, pp. 3 - 13
https://doi.org/10.4467/2353737XCT.14.037.1814Authors
The application of artificial neural networks in the
identification of damage in beams – numerical and experimental studies
This paper presents the application of Artificial Neural Networks (ANN) in the identification of damage (location, extent) in simple laboratory beam structure. The assessment of the state of a beams relies on the comparison of the structure eigenfrequencies obtained from the systems with additional masses placed in different nodes without knowledge of the natural frequencies of undamaged structures.
Information: Technical Transactions, 2012, Mechanics Issue 8-M (22) 2012, pp. 3 - 13
Article type: Original article
Titles:
The application of artificial neural networks in the
identification of damage in beams – numerical and experimental studies
The application of artificial neural networks in the
identification of damage in beams – numerical and experimental studies
Katedra Mechaniki Konstrukcji, Wydział Budownictwa i Inżynierii Środowiska, Politechnika Rzeszowska
Katedra Mechaniki Konstrukcji, Wydział Budownictwa i Inżynierii Środowiska, Politechnika Rzeszowska
Published at: 2012
Article status: Open
Licence: None
Percentage share of authors:
Article corrections:
-Publication languages:
PolishView count: 2063
Number of downloads: 1741