Footbridge damage detection using smartphone-recorded responses of micromobility and convolutional neural networks-Reference-Cited by-同舟云学术

Footbridge damage detection using smartphone-recorded responses of micromobility and convolutional neural networks

Published:2024-10 Issue: Volume:166 Page:105587
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Li Zhenkun^ORCID,Lan Yifu^ORCID,Lin Weiwei^ORCID

Publisher

Elsevier BV

Reference71 articles.

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3. Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019;Hou;J. Sound Vib.,2021

4. Vibration feature extraction using signal processing techniques for structural health monitoring: a review;Zhang;Mech. Syst. Signal Process.,2022

5. A kNN algorithm for locating and quantifying stiffness loss in a bridge from the forced vibration due to a truck crossing at low speed;Feng;Mech. Syst. Signal Process.,2021

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