Abstract
In order to detect the damage of beams and mortise joints of ancient buildings under environmental excitation, a damage identification method combining wavelet transform with improved BP neural network is proposed. The acceleration signal of the structure under the environment excitation is extracted and the total energy change rate of wavelet is obtained by wavelet discrete reconstruction, which is taken as the damage index. A finite element model of a timber frame of Xi’an bell tower is established to verify the proposed method. When the damage extent is less than 50%, 96% of the test samples in the neural network output the desired value; This method provides a theoretical basis for the study of damage prediction of timber structures in ancient buildings under environmental incentives.
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 callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: 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.
