A review of different types of weigh-in-motion sensors: State-of-the-art

被引:24
作者
Adresi, Mostafa [1 ]
Abedi, Mohammadmahdi [2 ]
Dong, Wenkui [3 ]
Yekrangnia, Mohammad [1 ]
机构
[1] Shahid Rajaee Teacher Training Univ, Civil Engn Dept, Tehran, Iran
[2] Univ Minho, ISISE, ARISE, Dept Civil Engn, Campus Azurem, P-4800058 Guimaraes, Portugal
[3] Tech Univ Dresden, Dept Civil Engn, Dresden, Germany
基金
美国国家科学基金会;
关键词
Self-sensing concrete; Weigh-in-motion sensor; Traffic monitoring; Smart pavement; CEMENT-BASED SENSORS; CARBON-FIBER; PIEZORESISTIVE PROPERTIES; ASPHALT CONCRETE; COMPOSITES; STRAIN; PAVEMENT; DAMAGE; IDENTIFICATION; DESIGN;
D O I
10.1016/j.measurement.2023.114042
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Weigh-in-motion (WIM) systems provide the opportunity to measure the weight of vehicles, including individual axles, as they pass over the pavement. This study focuses on the evaluation of different WIM systems, the applications of WIM sensors, and the comparison of existing WIM sensors, particularly smart concrete sensors with self-sensing capabilities. To achieve this objective, various types of concrete sensors were investigated. These sensors are capable of measuring weight while in motion, monitoring the structural health of pavements, and collecting traffic data. Smart concrete sensors with self-sensing capabilities are composed of concrete composites that contain conductive or semi-conductive fillers, enabling the measurement of stress and strain through piezoresistive properties. The findings indicate that self-sensing concrete sensors can be effectively utilized for traffic properties measurement; however, ensuring their reliability in real-field conditions and practical applications necessitates further research.
引用
收藏
页数:21
相关论文
共 205 条
[1]  
Adresi M., 2022, ROAD, DOI [10.22034/ROAD.2022.360617.2087, DOI 10.22034/ROAD.2022.360617.2087]
[2]  
Adresi M., 2016, Transp Infrastructures Eng J, V2, P17, DOI DOI 10.22075/JTIE.2016.509
[3]  
Adresi M, 2017, Concrete Pavement Prediction Life Model Based on Electrical Response of Concrete-CNTs Sensors under Fatigue Loading, DOI [10.6092/polito/porto/2687875, DOI 10.6092/POLITO/PORTO/2687875]
[4]  
Adresi M., 2017, Modares Civ Engneering J, V17, P1
[5]  
Adresi M, 2022, Road, DOI [10.22034/ROAD.2022.360597.2085, DOI 10.22034/ROAD.2022.360597.2085]
[6]  
Adresi M, 2023, Constr. Build, Mater, P404
[7]  
Adresi M., 2017, Q J Transp Engneering, V9, P139
[8]  
Adresi M, 2020, Journal of Structural and Construction Engineering, DOI [10.22065/jsce.2020.232648.2150, 10.22065/JSCE.2020.232648.2150, DOI 10.22065/JSCE.2020.232648.2150]
[9]   A Novel Life Prediction Model Based on Monitoring Electrical Properties of Self-Sensing Cement-Based Materials [J].
Adresi, Mostafa ;
Tulliani, Jean-Marc ;
Lacidogna, Giuseppe ;
Antonaci, Paola .
APPLIED SCIENCES-BASEL, 2021, 11 (11)
[10]   A study of the main factors affecting the performance of self-sensing concrete [J].
Adresi, Mostafa ;
Hassani, Abolfazl ;
Tulliani, Jean-Marc ;
Lacidogna, Giuseppe ;
Antonaci, Paola .
ADVANCES IN CEMENT RESEARCH, 2017, 29 (05) :216-226