Projects per year
Abstract
Carbon fibre reinforced cement-based sensors offer a potential low-cost and high-performance alternative to externally applied sensors for health monitoring of concrete structures. This paper focuses on the moisture dependence of bulk conductivity for carbon fibre reinforced cement-based sensors with fibre contents 0.1–1.5 vol%. Under two-point AC impedance spectroscopy at frequencies 1 Hz–10 MHz, the electrode polarization (EP) process, an electrical double layer polarization process (EDLP), and the bulk Maxwell-Wagner type interfacial polarization process (MWP) were identified. While reducing the saturation degree from 100 % to 0 %, the fractional change of bulk conductivity (FCS) underwent three different stages, which consists of a non-linear stage at 100–80 % saturation, a linear stage at 80–20 % saturation, and a final stage at 20–0 % saturation. The results gave insights into the stability of cement-based sensors under field conditions, and the underlying mechanisms of behaviour. From this, a route towards appropriate use of cement-based sensors in mechanical sensing and potentially moisture sensing without further external measures can be realised.
Original language | English |
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Article number | 129049 |
Journal | Construction and Building Materials |
Volume | 353 |
Early online date | 13 Sept 2022 |
DOIs | |
Publication status | Published - 24 Oct 2022 |
Keywords
- Carbon fibres
- Cement-based sensors
- Impedance spectroscopy
- Polarization
- Saturation degree
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Materials Science(all)
Fingerprint
Dive into the research topics of 'Electrical impedance behaviour of carbon fibre reinforced cement-based sensors at different moisture contents'. Together they form a unique fingerprint.Projects
- 1 Finished
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RM4L - Resilient Materials for Life
Paine, K., Ball, R., Gebhard, S., Heath, A., Tan, L. & Tzoura, E.
Engineering and Physical Sciences Research Council
3/04/17 → 2/10/22
Project: Research council
Datasets
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Dataset for "Electrical impedance behaviour of carbon fibre reinforced cement-based sensors at different moisture contents"
Zhang, J. (Creator), Heath, A. (Project Member), Taha Abdalgadir, H. (Project Member), Ball, R. (Work Package Leader) & Paine, K. (Project Leader), University of Bath, 13 Sept 2022
DOI: 10.15125/BATH-01193
Dataset
Equipment
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Raman confocal microscope RENISHAM INVIA
Material and Chemical Characterisation (MC2)Facility/equipment: Equipment