Artificial Intelligence and Data Science
Online ISSN : 2435-9262
SEISMIC DAMAGE DETECTION METHOD FOR CONCRETE STRUCTURES USING VIBRATION MEASUREMENT AND AUTOENCODER
Hideki NAITOTomoyuki KIMOTOHikaru FUJIOKAShuichi FUJIKURAShigeki UNJOH
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JOURNAL OPEN ACCESS

2022 Volume 3 Issue J2 Pages 134-144

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Abstract

Effectiveness of vibration measurement using acceleration sensors and anomaly detection with autoencoder was investigated, for improving non-destructive inspection and structural health monitoring for civil structures. In particular, a seismic damage detection method was examined in quasi-static loading tests on RC beam and column specimens. Local through-thickness vibration testing and acceleration monitoring with applying whitenoise signals were conducted on the specimens. Measured data of the intact specimens was used to train an autoencoder. Anomaly scores were evaluated for measured data of the damaged specimens, with the trained autoencoder. As a result, the shear crack, flexural cracks, and spalling of cover concrete in the RC beams and column were successfully detected. Furthermore, it is suggested that the proposed method with multipoint measurement has high possibility to identify locations and degrees of damage in RC members.

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© 2022 Japan Society of Civil Engineers
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