| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Bourbon, Gilles
STMicroelectronics (United Kingdom)
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2022Viscoelastic properties of plant fibers - Dynamic analysis and nanoindentation tests
- 2022Towards integrated health monitoring of bio-based composite structures : influence of acoustic emission sensor embedment on material integrity
- 2021CMUT-Based Sensor for Acoustic Emission Application: Experimental and Theoretical Contributions to Sensitivity Optimizationcitations
- 2020Towards a better understanding of the CMUTs potential for SHMapplications
- 2019Acoustic emission sensing using MEMS for structural health monitoring : demonstration of a newly designed Capacitive Micro machined Ultrasonic Transducer
- 2019Acoustic emission sensing using MEMS for structural health monitoring : demonstration of a newly designed Capacitive Micro machined Ultrasonic Transducer
- 2019CMUT sensors based on circular membranes array for SHM applications
- 2017Modal parameter identification of a CMUT membrane using response data only
- 2016Characterization of capacitive micromachined ultrasonic transducers
- 2000The two way shape memory effect of shape memory alloys: an experimental study and a phenomenological model
Places of action
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document
Acoustic emission sensing using MEMS for structural health monitoring : demonstration of a newly designed Capacitive Micro machined Ultrasonic Transducer
Abstract
Among the various experimental techniques used for Structural Health Monitoring (SHM), acoustic emission (AE) allows real time monitoring of large structures with the possibility to detect, characterize and locate damages. In practice, its implementation can be complex, especially for mobile structures. The main difficulties are related to the integration of sensors in the structure, electrical interconnections, different sources of noise, the detection and processing of transient signals and the management of massive data streaming. Generally, AE are collected through piezoelectric sensors. We propose an AEbased SHM methodology using an alternative technology in breakthrough with piezoelectric transduction: Capacitive micro-machined ultrasonic transducers (CMUTs). These sensors have many advantages. One advantage lies in the size of the sensors allowing a little intrusive integration into the material. Following a previous work published in EWSHM’̣18, we report on the design, fabrication, and experimental demonstration of a new CMUT transducer specifically designed for the measurement of AE events. A data preprocessing methodology dedicated to interpret the obtained AE streaming is presented. We compare the results with standard piezoelectric sensors to detect damages during tensile tests on composite plates.