Abstract
A tunnel steel loop reinforcement invalidation monitoring technology based on optical fiber distributed acoustic sensing (DAS) is proposed and demonstrated. Assisted with machine learning, the identification accuracy rate of invalid degree is up to 97.8%.
© 2021 The Author(s)
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