Artificial Intelligence and Data Science
Online ISSN : 2435-9262
DAMAGE DETECTION OF STEEL FINGER TYPE EXPANSION JOINTS BASED ON PASSING SOUND MEASURED IN A VEHICLE
Koji KINOSHITASanako KATOShoichi TAGAMasahiro KOZUKA
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JOURNAL OPEN ACCESS

2020 Volume 1 Issue J1 Pages 530-535

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Abstract

This paper attempted to detect initial damage of steel finger type expansion joints based on passing sound measured in a vehicle. Firstly, it has been clarified the feature of passing sounds over test specimens which are simulated the fracture joints. Using the feature of passing sounds over test specimens, damage evaluation of actual expansion joints were possible. Moreover, the measurement were conduted one year later to collect and compare the feature of passing sounds. Consequently, by collecting the passing sound until the expnansion joints damage, the possibility of damage detection by measured data from inside the vehicle was verified.

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© 2020 Japan Society of Civil Engineers
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