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Assessment of RC Bridge Decks with Active/Passive NDT

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Advances in Condition Monitoring and Structural Health Monitoring

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

We are facing a lot of infrastructures damaged seriously. In consideration with restriction of the maintenance budget, strategy to prolong their service as long as possible has been generally adopted. To maintain those structures reasonably, current condition of the structures shall be properly evaluated by ideal inspections, for example, using NDT. The authors have thus been studying NDT utilizing elastic wave approaches to quantify the damage of infrastructures. In the paper, periodic monitoring and continuous monitoring with elastic wave approaches are demonstrated respectively. Specifically elastic wave- or AE- tomography is applied to the existing concrete bridge deck to interpret the damage distribution with their characteristic parameters. As for the continuous monitoring, newly developed super acoustic (SA) sensors and a four channels FPGA-based edge computing unit with event-driven technology are demonstrated. And to introduce the NDT into in-situ maintenance program, essential issues are summarized. As for a key technology of remote monitoring, several fundamental aspects of laser-induced elastic waves are experimentally studied.

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References

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Acknowledgements

A part of the study is implemented under the sponsorship of NEDO (New Energy Development Organization). Their financial support is greatly appreciated. The SA sensor is concepted by Prof. Shimoyama with Toyama Prefectural University (Formerly involved in the University of Tokyo). His notable contribution to this project is highly applauded.

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Correspondence to T. Shiotani .

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Shiotani, T., Asaue, H., Hashimoto, K., Watabe, K. (2021). Assessment of RC Bridge Decks with Active/Passive NDT. In: Gelman, L., Martin, N., Malcolm, A.A., (Edmund) Liew, C.K. (eds) Advances in Condition Monitoring and Structural Health Monitoring. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-9199-0_42

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  • DOI: https://doi.org/10.1007/978-981-15-9199-0_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9198-3

  • Online ISBN: 978-981-15-9199-0

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