Carbon fiber-based cementitious composites for traffic detection and weighing in motion

Joint Authors

al-Dahawi, Ali Majid
Ghadban, Dirgham A.
Juni, Hasan Hammudi

Source

Engineering and Technology Journal

Issue

Vol. 39, Issue 8 (31 Aug. 2021), pp.1250-1256, 7 p.

Publisher

University of Technology

Publication Date

2021-08-31

Country of Publication

Iraq

No. of Pages

7

Main Subjects

Civil Engineering

Topics

Abstract EN

New self-sensing cementitious composites embedded in the highway pavement for vehicle detection and weigh during motion is fabricated.

Smart carbon fiber (CF) reinforced cement-based materials with high sensitive property are used as sensors.

These smart composites may be able to detect the traffic and sense the weight in motion, thanks to their piezoresistive property.

Cement-based sensors capability to vehicle detection was investigated in a real field at the University of Technology campus.

Findings clarify that the CF-Based cementitious composites provide have a great potential to use as sensors for detect traffic and its composition also it possibly identifies different vehicular axle loadings (weigh during motion).

American Psychological Association (APA)

Ghadban, Dirgham A.& Juni, Hasan Hammudi& al-Dahawi, Ali Majid. 2021. Carbon fiber-based cementitious composites for traffic detection and weighing in motion. Engineering and Technology Journal،Vol. 39, no. 8, pp.1250-1256.
https://search.emarefa.net/detail/BIM-1281531

Modern Language Association (MLA)

Ghadban, Dirgham A.…[et al.]. Carbon fiber-based cementitious composites for traffic detection and weighing in motion. Engineering and Technology Journal Vol. 39, no. 8 (2021), pp.1250-1256.
https://search.emarefa.net/detail/BIM-1281531

American Medical Association (AMA)

Ghadban, Dirgham A.& Juni, Hasan Hammudi& al-Dahawi, Ali Majid. Carbon fiber-based cementitious composites for traffic detection and weighing in motion. Engineering and Technology Journal. 2021. Vol. 39, no. 8, pp.1250-1256.
https://search.emarefa.net/detail/BIM-1281531

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1255-1256

Record ID

BIM-1281531