Application of intrinsic cement-based sensor for traffic detections of human motion and vehicle speed
- Publisher:
- Elsevier
- Publication Type:
- Journal Article
- Citation:
- Construction and Building Materials, 2022, 355, pp. 129130
- Issue Date:
- 2022-11-14
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
Application of intrinsic cement-based sensor for traffic detections of human motion and vehicle speed.pdf | Published version | 36.37 MB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
To develop smart concrete pavement for intelligent infrastructure, the self-sensing performance of smart pavement with embedded cement-based sensors was experimentally investigated in this study. The self-sensing behaviors of mortar pavement is evaluated by the self-sensing of compression force, human motion detection, and vehicle speed monitoring. Because of the well-dispersed carbon nanofiber (CNF), the developed cement-based sensors intrinsically showed excellent piezoresistivity. The cement-based sensors connected in series were well bonded within the mortar slab, which indicates effective force transmission from the mortar slab to the cement-based sensors. The results showed that the smart mortar slab exhibited linear and repeatable fractional changes of resistivity (FCR) in response to cyclic compression force. With the cement-based sensors embedded, the smart mortar slab could monitor the human motions, such as ‘up-down’ feet or jumping movements. Moreover, the smart mortar slab could detect the exact vehicle speed with high accuracy for the traffic detection. The characterization on the interfaces between cement-based sensors and mortar slab demonstrated the excellent connections, which confirmed the smooth force transmission from the mortar slab to the cement-based sensors due to the excellent interfacial bonding between them. Moreover, the FCR value presented a firm relationship to the vehicle speed, with a decreasing trend with the increase of vehicle speed. The results will promote the practical applications of cement-based sensors, especially in the field of concrete pavement or road, to achieve smart concrete infrastructures.
Please use this identifier to cite or link to this item: