Abstract
This paper proposes the application of neural networks for output-only modal identification of structural systems. Four frequency-dependent indicators, based on specific properties of the spectral tensor of vibration measurements, are defined and employed to build a likelihood function for the presence of structural resonances. Subsequently an artificial neural network (ANN), fed with the four indexes, was built and adopted to assess structural eigenvalues and eigenmodes. The proposed technique was tested on a three-storey steel-frame. After training the trained ANN was able to assess eigenvalues and eigenmodes, as demonstrated by comparison of the obtained results with those provided by literature methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
