@article{88bd8efe-18c3-44c6-9115-a492e877e01d, author = {Artur Borowiec, Leonard Ziemiański}, title = {The application of artificial neural networks in the identification of damage in beams – numerical and experimental studies}, journal = {Czasopismo Techniczne}, volume = {2012}, number = {Mechanika Zeszyt 8-M (22) 2012}, year = {2012}, issn = {0011-4561}, pages = {3-13},keywords = {artificial neural networks; damage identification; modal analysis}, abstract = {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.}, doi = {10.4467/2353737XCT.14.037.1814}, url = {https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/the-application-of-artificial-neural-networks-in-the-identification-of-damage-in-beams-numerical-and-experimental-studies} }