Abstract
As one of the non-destructive test methods, self-sensing cementitious composites have been developed for concrete structures to monitor the health condition. In this study, the focus was put on the self-sensing capacity for low amplitude strain which was often overlooked in the previous research. Carbon black nanoparticles were added as conductive filler in cementitious composites and their piezo-resistivities were recorded in low-amplitude cyclic loadings. Besides, hammer induced stress wave was utilized to activate the self-sensing mechanism in composites. Because the tunnelling effect occurs at several nanometres and is extremely sensitive to the micro strains, these signals were collected as the electrical resistance variance between two closely contacted electrodes and compared with the signals from lead zirconate titanate (PZT) sensors. The developed materials provides the potential of high-resolution strain measurement and stress wave detection without any external instruments.
Original language | English |
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Title of host publication | Structural Health Monitoring- The 9th Asia-Pacific Workshop on Structural Health Monitoring, 9APWSHM 2022 |
Editors | Nik Rajic, Wing Kong Chiu, Martin Veidt, Akira Mita, N. Takeda |
Publisher | Association of American Publishers |
Pages | 279-284 |
Number of pages | 6 |
ISBN (Print) | 9781644902448 |
DOIs | |
Publication status | Published - 2023 |
Event | Asia-Pacific Workshop on Structural Health Monitoring 2022 - Cairns, Australia Duration: 7 Dec 2022 → 9 Dec 2022 Conference number: 9th https://www.mrforum.com/product-category/open-access-articles/9apwshm/ (Proceedings) |
Publication series
Name | Materials Research Proceedings |
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Volume | 27 |
ISSN (Print) | 2474-3941 |
ISSN (Electronic) | 2474-395X |
Conference
Conference | Asia-Pacific Workshop on Structural Health Monitoring 2022 |
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Abbreviated title | 9APWSHM 2022 |
Country/Territory | Australia |
City | Cairns |
Period | 7/12/22 → 9/12/22 |
Internet address |
Keywords
- Carbon Black Nanoparticles
- Micro Strain
- Self-Sensing
- Tunneling Effect