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Wireless Acoustic Emission Monitoring of Structural Behavior

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Book cover Fracture, Fatigue, Failure, and Damage Evolution, Volume 5

Abstract

The few non-visual methodologies make use of wired devices. Systems based on wireless transmission should be cost efficient and adaptive to different structures. The Acoustic Emission (AE) technique is an innovative monitoring method useful to detect damage, as well as to evaluate the evolution and the location of cracks. This paper shows the capability of a new data processing system based on a wireless AE equipment, very useful to long term monitoring of steel, concrete, and masonry structures. To this purpose, computer-based procedures, including an improved AE source location based on the Akaike algorithm, are implemented. These procedures are performed by automatic AE data processing and are used to evaluate the AE results in steel structures monitored during fatigue loading condition. In the most critical cases, or in some cases requiring long in situ observation periods, the AE monitoring method is fine tuned for a telematic procedure of processing AE data clouds to increase the safety of structures and infrastructural networks.

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Acknowledgements

The Authors gratefully acknowledge the support of the ALCIATI Ltd (Vigliano d’Asti-Italy) for supplying the materials research. Special thanks for their kind collaboration are due to Dr. M. Spampani and Dr. Michele Pedroni, and Alessandro Mitillo (Leane net. srl) for their valuable cooperation throughout the development of the new AE monitoring system.

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Correspondence to A. Manuello .

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Manuello, A., Lacidogna, G., Niccolini, G., Carpinteri, A. (2015). Wireless Acoustic Emission Monitoring of Structural Behavior. In: Carroll, J., Daly, S. (eds) Fracture, Fatigue, Failure, and Damage Evolution, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-06977-7_30

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  • DOI: https://doi.org/10.1007/978-3-319-06977-7_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06976-0

  • Online ISBN: 978-3-319-06977-7

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