Application of intrinsic cement-based sensor for traffic detections of human motion and vehicle speed
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
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.
Details
Originalsprache | Englisch |
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Aufsatznummer | 129130 |
Fachzeitschrift | Construction and Building Materials |
Jahrgang | 355 |
Publikationsstatus | Veröffentlicht - 14 Nov. 2022 |
Peer-Review-Status | Ja |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Cement-based sensor, Human motion, Smart pavement, Traffic detection, Vehicle speed