Changes in wave propagation due to damages and automatic recognition using a CNN model

Changes in wave propagation due to damages and automatic recognition using a CNN model

Xin Wang, Aijia Zhang, Yoshihiro Nitta, Ji Dang

Abstract. The vibration of buildings is generally considered as a superposition of natural vibration modes, but it can also be interpreted from the perspective of wave propagation in the vertical direction of SH wave. When the virtual source is placed on the roof, the impulse response consists of one non-causal wave and one causal wave, making the wave propagation path clearer. In this study, using vibration table experiments with building models, we visualized the changes in the overall wave field from the foundation to the roof when interlayer stiffness decreases due to damage and temporal changes of the impulse response in the damaged and adjacent layers. These changes were automatically recognized using a trained CNN model.

Keywords
Wave Propagation, Interference, Impulse Response, CNN Model

Published online 3/25/2025, 6 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Xin Wang, Aijia Zhang, Yoshihiro Nitta, Ji Dang, Changes in wave propagation due to damages and automatic recognition using a CNN model, Materials Research Proceedings, Vol. 50, pp 141-146, 2025

DOI: https://doi.org/10.21741/9781644903513-17

The article was published as article 17 of the book Structural Health Monitoring

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

References
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[2] Aijia Zhang, Xin Wang, Ji Dang: CNN‐based damage detection of buildings from wave propagation between two adjacent floors, Earthquake Engineering and Resilience, Volume2, Issue4:479-492,2023. https://doi.org/10.1002/eer2.62