%0 Journal Article
%T The application of artificial neural networks in the
	identification of damage in beams – numerical and experimental studies
%A Borowiec, Artur
%A Ziemiański, Leonard
%J Technical Transactions
%V 2012
%R 10.4467/2353737XCT.14.037.1814
%N Mechanics Issue 8-M (22) 2012
%P 3-13
%K artificial neural networks, damage identification, modal analysis
%@ 0011-4561
%D 2012
%U https://ejournals.eu/en/journal/czasopismo-techniczne/article/the-application-of-artificial-neural-networks-in-the-identification-of-damage-in-beams-numerical-and-experimental-studies
%X 
	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.